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Drinking Tea with the Neighbors: Informal Clubs, General Trust, and Trustworthiness in Mali

Published online by Cambridge University Press:  22 August 2023

JAIMIE BLECK*
Affiliation:
University of Notre Dame, United States
JACOPO BONAN*
Affiliation:
Politecnico di Milano, Italy
PHILIPPE LEMAY-BOUCHER*
Affiliation:
Heriot-Watt University, United Kingdom
BASSIROU SARR*
Affiliation:
Ministry of Finance and Budget, Senegal
*
Jaimie Bleck, Associate Professor, Department of Political Science, University of Notre Dame, United States, [email protected].
Jacopo Bonan, Assistant Professor of Management Engineering, School of Management, Politecnico di Milano, Italy, and Affiliated Scientist, RFF-CMCC European Institute on Economics and the Environment, Italy, [email protected].
Philippe LeMay-Boucher, Associate Professor of Economics, School of Social Sciences, Heriot-Watt University, United Kingdom, [email protected].
Bassirou Sarr, Senior Advisor to the Minister of Finance and Budget, Ministry of Finance and Budget, Senegal, [email protected].
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Abstract

There has been scant empirical evidence linking associational membership to general trust and trustworthiness. This study explores urban youth clubs in Mali and asks: is membership in these groups associated with greater trust and trustworthiness toward society? It leverages 18 months of fieldwork, including 375 group surveys, 2,525 individual surveys, over 1,300 trust games, and transcripts from 66 focus groups. We use propensity score matching to analyze how members and nonmembers play the trust game with strangers. Members are more trustworthy; they return 12% more to their partners than nonmember peers. We do not find a systematic effect of membership on trust. Trustworthiness in the game is also positively correlated with self-reported trust and tolerance as well as real-world behaviors including volunteering and helping friends. Focus group data highlight five mechanisms by which membership fosters general trustworthiness: bonding among diverse members, bridging, public goods provision, socialization, and psychological support.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the American Political Science Association

INTRODUCTION

Social capital theory posits that certain types of voluntary, associational membership have the potential to generate general trust and trustworthinessFootnote 1 that extends beyond fellow members to broader society (Putnam Reference Putnam2000).Footnote 2 As Putnam (Reference Putnam2000) writes, “Frequent sets of interaction among a diverse set of people tends to produce a norm of generalized reciprocity (21).” These heightened levels of general trustworthiness act as a “lubricant” for broader social exchange, facilitating reciprocity and cooperation in society (Ostrom and Ahn Reference Ostrom and Ahn2009; Putnam Reference Putnam2000). However, group membership can also generate particularized trust in co-members at the expense of general trust in broader society (Berman Reference Berman1997; Chambers and Kopstein Reference Chambers and Kopstein2001; Moser and McIlwaine Reference Moser and McIlwaine2006). Gangs, criminal networks, or xenophobic political movements may have diverse members and norms that promote solidarity and cooperation among members, but negatively affect broader society.

This article brings the study of voluntary associations to Mali: a poor state in the Global South where elections have failed to generate substantial service provision (Gottlieb and Kosec Reference Gottlieb and Kosec2019). Due to weak government performance and pervasive corruption, some scholars would be skeptical that general trust and trustworthiness could flourish (Rothstein Reference Rothstein2013; Rothstein and Stolle Reference Rothstein and Stolle2008). While state underperformance necessitates cooperation between citizens for service provision, the emergence of collective action in these settings is typically theorized among co-ethnics, kinship groups, or other homogeneous populations; it relies on information and norm enforcement and favors insiders (Bowles and Gintis Reference Bowles and Gintis2002; Habyarimana et al. Reference Habyarimana, Humphreys, Posner and Weinstein2007). In a diverse urban environment, some scholars are skeptical that voluntary, associational membership can increase general trust and trustworthiness (Fukuyama Reference Fukuyama1995; Reference Fukuyama2001). However, Mali is home to vibrant associational life and its citizens are thought to have relatively high levels of trust. Thus, it is a good place to explore the potential relationship between voluntary, associational membership, and pro-social behavior (Goertz Reference Goertz2017).

We explore the relationship between associational membership and general trust and trustworthiness in informal, urban, social clubs—locally called grinw. Footnote 3 Grinw are groups whose members meet regularly, usually around tea, to discuss local news and to share information and gossip. These groups are theoretically interesting in that they have norms of reciprocity, diverse membership, frequent face-to-face interaction, and can engage in public goods provision, which are characteristics of groups thought to be capable of fostering general trust. However, they are typically made up of underemployed, young men, whom we might not expect to generate broader social cohesion while hanging out. In this article, we ask: is membership in tea-drinking clubs associated with higher levels of general trust and trustworthiness toward other members of society?

This study draws from mixed methods data based on 18 months of fieldwork in Mali. It includes 375 surveys of these voluntary associations, 2,525 individual surveys of members and nonmembers, more than 1,300 trust games, and 66 focus groups in out-of-sample grinw. We employ the games to compare trust and trustworthiness of members and nonmembers toward strangers. We embed between-subjects experimental variation that allows us to measure how people play with partners from clearly defined social categories: co-linguists, non-co-linguists, and players with no specified linguistic group. We use a propensity score matching (PSM) technique, to analyze the role of group membership in our trust game results. PSM allows us to control for observable individual attributes that could influence grin membership, as well as trust and trustworthiness.

The games reveal that members of these informal social clubs are more trustworthy than nonmembers. They give around 12% more back to their partners irrespective of the treatment related to their language identity. In contrast, we do not find a significant and consistent relationship between membership and generalized trust. We find that being trustworthy in the game is associated with attitudinal trust, tolerance, and some reported real-world behaviors: time spent volunteering in the neighborhood and time spent helping friends.

We explore the mechanisms underlying the relationship between grin membership and trustworthiness using qualitative methods. We use Causal Map (Powell Reference Powell2023) software to analyze focus group respondents’ description of causal processes linking membership to general trustworthiness (Cyr Reference Cyr2016; Goertz Reference Goertz2017; Mahoney Reference Mahoney2012). In the focus group transcripts, respondents state that these groups contribute to social cohesion. They discuss five main mechanisms by which these groups could generate trustworthiness: bonding among diverse members, bridging across groups, participation in public goods provision, socialization, and psychological support.

The article makes three distinct contributions. First, we provide suggestive evidence linking membership in a specific type of voluntary association and greater general trustworthiness. To date, there has been scant empirical evidence of the relationship between associational membership and general trust and trustworthiness (Hooghe and Stolle Reference Hooghe and Stolle2003; Newton Reference Newton2001; Stolle Reference Stolle1998; Reference Stolle2001; Reference Stolle, Hooghe and Stolle2003). We show that members of these groups are consistently more trustworthy than nonmember peers in the game. We demonstrate how trustworthiness in the game aligns with stated trust, tolerance, and real-world behaviors.

Second, we conduct our research in the Global South, in contrast to most social capital research, which has been conducted in OECD countries.Footnote 4 Literature on civil society in Africa has documented the many ways that civil society groups have provided members with self-help, government advocacy, or private/club goods (Bratton Reference Bratton1989; Gyimah-Boadi Reference Gyimah-Boadi1996; Hern Reference Hern2019; Johnson Reference Johnson2021; Kang Reference Kang2015; Tripp Reference Tripp2001), but there has been little exploration of the effect of membership on societal social capital. Urban, informal groups that link members of different ethnic and socioeconomic groups have been unexplored in discussions of civil society on the African continent. We describe the composition, function, and characteristics of these groups; our findings suggest that they could potentially play a role in generating social capital and trustworthiness in some urban contexts.

Finally, this study offers a rich mixed-methods study of an important population: young, urban men. We conduct over 1,300 trust games with a relatively under-studied population—predominantly youth males in an urban environment. We demonstrate how behavior in the games correlates with self-reported pro-social action. We complement the games and survey data with focus group transcripts to highlight five distinct mechanisms cited by respondents as driving pro-social behavior inside these groups. This triangulation of data gives us greater confidence in the relationship between membership and general trustworthiness, but also identifies specific pathways for the development of pro-social behavior that researchers could explore in other urban, youth associations on the continent.

TRUST, TRUSTWORTHINESS, AND ASSOCIATIONAL MEMBERSHIP

General trust and trustworthiness are thought to be critical for a range of outcomes, including economic development (Knack and Keefer Reference Knack and Keefer1997), disaster response (Aldrich Reference Aldrich2012), and democratization (Putnam Reference Putnam2000). Trust and trustworthiness are even more critical among citizens in weak states since communities often need to solve collective action problems themselves (Ostrom and Ahn Reference Ostrom and Ahn2009).

General trust is distinct from particular or in-group trust in that it extends out to broader society rather than just to those whom one knows and interacts with regularly (Putnam Reference Putnam2000). As Ostrom and Ahn (Reference Ostrom and Ahn2009) argue, general trust “reflects the average level of trust in society” (14). Yamagishi and Yamagishi (Reference Yamagishi and Yamagishi1994) describe it as a type of cognitive bias: “a belief in the benevolence of human nature in general and thus is not limited to particular objects” (139). Some scholars describe general trust as a stable predisposition formed early in life and difficult to change (Uslaner Reference Uslaner2008; Reference Uslaner2016).Footnote 5

Another, arguably more important, element of pro-social behavior is trustworthiness. Trustworthiness is critical to generating patterns of reciprocity within greater society as past experience of others’ trustworthiness drives one’s trusting behavior in the future (Hardin Reference Hardin1996; Ostrom and Ahn Reference Ostrom and Ahn2009). Trustworthiness can be thought of as a norm or value, and, thus, more responsive to experiences over time. Levi and Stoker (Reference Levi and Stoker2000) write that trustworthiness is rooted in “moral values that emphasize promise-keeping, caring about the truster, incentive compatibility, or some combination of the three” (476). General trustworthiness also differs from general trust in that people respond to information (what they were entrusted with); trustees can observe behavior of a “truster” and decide whether or not they want to engage in a reciprocal fashion.

Several factors determine general trust and trustworthiness. Context-specific characteristics and institutions, such as geographical conditions, culture, governance, property rights, and contract enforcement institutions, explain large cross-country variations (Falk et al. Reference Falk, Becker, Dohmen, Enke, Huffman and Sunde2018; Fehr Reference Fehr2009; Rothstein Reference Rothstein2013; Rothstein and Stolle Reference Rothstein and Stolle2008). Substantial variations in trust and trustworthiness are also determined by individual traits like gender, age, cognitive ability, and social factors, like language and ethnic cleavages, social status, or income segregation (Alesina and La Ferrara Reference Alesina and La Ferrara2002; Brandt, Wetherell, and Henry Reference Brandt, Wetherell and Henry2015; Delhey and Newton Reference Delhey and Newton2003; Falk et al. Reference Falk, Becker, Dohmen, Enke, Huffman and Sunde2018; Glaeser et al. Reference Glaeser, Laibson, Scheinkman and Soutter2000).

Group membership gives members personal benefits such as access to information, networks, and other kinds of supports (Portes Reference Portes1998; Putnam Reference Putnam2000). It can also provide individuals with experience practicing reciprocity. By building in-group solidarity, trust/trustworthiness, and mutual support, membership facilitates collective action (Ostrom and Ahn Reference Ostrom and Ahn2009). However, only some types of group membership are thought to foster general trust and trustworthiness beyond their base of members. In some instances “bonding social capital” between members enhances particularized trust or trustworthy behavior toward other members, but does not extend to broader society. This in-group bonding can come at the expense of trust toward greater society (Berman Reference Berman1997; Bourdieu Reference Bourdieu2011; Fukuyama Reference Fukuyama2001; Ostrom and Ahn Reference Ostrom and Ahn2009; Portes Reference Portes1998), for instance, as out-group member discrimination (Scacco and Warren Reference Scacco and Warren2018). Therefore, it is critical to identify groups that have the attributes theorized to generate general trust and trustworthiness.

Existing literature reveals characteristics of groups thought to be capable of generating general trust and trustworthiness. First, they should be relatively open and be able to connect members of different sectors of society with weak ties (Granovetter Reference Granovetter1973; Putnam Reference Putnam2000). Ideally, the groups connect members from across different cleavages to ensure that bonding happens among diverse rather than homogeneous members (Stolle Reference Stolle2002; Stolle and Rochon Reference Stolle and Rochon1998). This diversity of membership can also facilitate bridging with nonmembers across different groups in society as it offers access to a broader set of networks (Granovetter Reference Granovetter1973). Second, groups need to generate positive norms of reciprocity, which can happen through private, club, or public goods provision to members (Putnam Reference Putnam2000) and/or through socialization and learning about pro-social norms (Stolle Reference Stolle, Hooghe and Stolle2003). In a cross-societal study of ultimatum games, Henrich et al. (Reference Henrich, Boyd, Bowles, Camerer, Fehr, Gintis and McElreath2001) find that people’s exposure to market place integration is correlated with cooperation. Grinw members may draw on past experiences with reciprocity when interacting with nonmembers. Third, more practically, people need to spend substantial time in these groups to facilitate face-to-face interaction (Feigenberg et al. Reference Feigenberg, Field, Pande, Rigol and Sarkar2014). Finally, groups that engage in public goods provision or volunteerism can foster pro-social orientation among members (Putnam Reference Putnam2000; Putnam, Campbell, and Garrett Reference Putnam, Campbell and Garrett2012).

In weak state contexts, civil society organizations play a central role in providing welfare services, self-help, and governance (Brass Reference Brass2012; Reference Brass2016; Cammett and MacLean Reference Cammett and MacLean2011). In Africa, much of the existing research on associational membership focuses on homogeneous groups, including ethnic hometown and business associations (Bates Reference Bates1974; Ekeh Reference Ekeh1975), traditional leaders and their constituencies (Baldwin Reference Baldwin2013; Dionne Reference Dionne2017; Koter Reference Koter2016), religious groups (McCauley Reference McCauley2017; McClendon and Riedl Reference McClendon and Riedl2015), funeral groups (LeMay-Boucher Reference LeMay-Boucher2012), and village-based associations (Johnson Reference Johnson2021). However, Scacco and Warren (Reference Scacco and Warren2018) suggest that the composition of group members is key: bonding within homogeneous groups could negatively affect society. Homogeneous groups are not the venues where we would anticipate that group membership could stimulate trust and trustworthiness behavior toward nonmembers.

In many urban areas, informal friend groups and social clubs bridge ethnic, socioeconomic, and regional cleavages. A few studies have found that participation in informal friend groups, rather than more formal associational membership, is positively associated with general trust (Delhey and Newton Reference Delhey and Newton2003; Valdivieso and Villena-Roldan Reference Valdivieso and Villena-Roldan2014). Paller’s (Reference Paller2014) ethnography of urban friendship in Ghana suggests that friends can play an important role in generating general trust and social capital. One reason political science has not explored the impact of these friend groups or social clubs is that they are highly informal, and, thus, difficult to identify.

THE MALIAN CONTEXT

Mali is a low-income, Muslim-majority country characterized by weak government performance and significant corruption—traits that are typically associated with lower general trust. While trust rates in Africa are lower than in other continents, Mali is among the most “trusting countries” in Africa (Etang, Fielding, and Knowles Reference Etang, Fielding and Knowles2011; Logan, Seydou, and Katenda Reference Logan, Seydou and Katenda2020). Mali is ethnically diverse, but has been historically characterized as a tolerant and peaceful society without strong ethnic parties or particularly politicized identities (Koter Reference Koter2016).Footnote 6 This is in part due to vibrant indigenous institutions that created cross-cutting cleavages, called sanankuya or joking cousins (Samassékou Reference Samassékou2011). Centuries ago, these institutions were established as conflict mitigation mechanisms (Dunning and Harrison Reference Dunning and Harrison2010). Mali has strong norms of pro-social behavior and generosity toward strangers and visitors. For example, the Bambara word mogoya, or one’s personhood, is often evaluated by one’s self-knowledge (Skinner Reference Skinner2015), but also behavior toward others. Another word, jatigiya, describes the practice of being a host (to a stranger or foreigner).Footnote 7 These norms continue to shape behavior in Malian society.

Over the last few years, Mali’s social fabric has again been tested by conflict and insecurity. At the beginning of 2012, a series of insurgencies erupted in Northern Mali, followed by a coup d’état.Footnote 8 More than 450,000 persons had been displaced since 2012 and more than two hundred thousand remained displaced during our fieldwork. Despite a return to multi-party elections in 2013, there has been an increase in the number of insurgent groups which have expanded into the center region. This has affected the population’s livelihoods and heightened inter-communal tension (Ibrahim Reference Ibrahim and Villalon2021; Sangaré Reference Sangaré2016). At the time of the survey, there was a strong North-South cleavage, with many Southerners blaming Northerners for the rebellion. Still, Mali is among the more unified and trusting countries on the continent. Eighty percent of respondents to the 2020 Afrobarometer survey thought there is more that unites than divides fellow citizens in Mali—making it the seventh most “unified” country on the continent (Logan, Seydou, and Katenda Reference Logan, Seydou and Katenda2020).Footnote 9 Mali was ranked fourth highest among 34 countries in the Afrobarometer surveys for the percentage of respondents (23%) who said that most people could be trusted (Logan, Seydou, and Katenda Reference Logan, Seydou and Katenda2020).Footnote 10

We conducted our study in two Malian cities: Bamako and Mopti/Sevare.Footnote 11 Bamako, located in the South of the country, is the capital of Mali, whereas Sevare and Mopti are located in the Center of the country—closer to the ongoing conflict. Both cities faced rising insecurity and absorbed large numbers of internally displaced persons at that time of data collection (2014–15).

GRINW AS CONDUITS OF SOCIAL CAPITAL

We focus on one specific type of group within civil society, which is theoretically suited to generate general trust and trustworthiness: the grin. To systematically study these types of groups, we use a multi-stage, mixed-methods research strategy. This allows us to understand the conceptual boundaries of these groups, to identify and catalog them, and to survey groups and their members.Footnote 12 First, we conducted ethnographic research and group-level interviews to properly define our concept, grin, and our population of interest. Grinw are groups who meet regularly around tea, or another beverage, to discuss local news and members’ personal lives, and to share information. They are typically composed of diverse members who live on the same neighborhood blocks (see Section 3 of the Online Appendix for further details on the definition).

There was no existing list of grinw in Mali, so we needed to generate a sample by conducting an original household survey. To obtain a representative sample of the local population, we adopted a clustered multi-stage probability sampling procedure. This allowed us to generate a sampling frame to select geographical clusters and households (details in Appendix A of the Supplementary Material). We sampled 1,128 households (642 in Bamako and 486 in Mopti). We collected demographic information on 4,303 household members aged 18–45 (our population of interest), including a question about their participation in a grin. To obtain a representative sample of grinw, we drew a random sample of 370 groups from the list of household members who belonged to a grin and then conducted a group survey in those groups. From the household survey, we find that nearly 44% of the sample, that is, individuals aged 18–45 living in households sampled, claim to be members of grinw. We find that members are systematically different than nonmembers: a young educated single male, who is not head of household and who is working in the informal sector, is more likely to be a member. Interestingly, ethnic affiliation is not significantly correlated with membership. Footnote 13

Table 1 shows the descriptive characteristics of grinw from our survey of 375 groups. This allows us to see if these groups are aligned with characteristics described in the theory.Footnote 14 The majority of grinw (85%) were formed by a group of individuals coming from the same neighborhood area. Neighborhoods in Bamako and Mopti are very heterogeneous in terms of class and linguistic composition; as a result, we observe a relatively high mean ethnolinguistic fractionalization score of 0.63.Footnote 15 They also include members from across salient cleavages: a third of all groups had a member who originally hailed from the North of the country. Fourteen percent of groups admitted an internally displaced person as a member during the two prior years. While some of these displaced people, may have been family of grin members who fled insecurity in the North, others were displaced people (IDPs) who had recently moved to the neighborhood and were welcomed into the group. In both instances, IDPs bring with them an intimate knowledge of the insecurity in the region that they fled.

Table 1. Grin Characteristics

Members engage in positive, cooperative norms and they derive individual benefits from membership, including access to financial resources, advice, and even job opportunities. Grinw offer members mutual help and insurance—generating positive norms of reciprocity within the group. Most grinw afford members benefits and experiences of reciprocal support. In 88% of grinw, members provide financial help for fellow members, which can be allocated for baptisms, weddings, funerals, accidents, and illnesses. These funds help members to cover their own expenses, but also to care for dependents, which is a critical marker of adulthood and responsibility in Mali. Members describe economic advantages of membership, such as access to information about jobs or business opportunities—reported in 74% of these groups. Grinw have regular meetings. Due in part to high unemployment and weak welfare provision, many young citizens regularly participate as a means to get information, solve problems, and obtain psycho-social support. Over three quarters of these groups meet daily. Additionally, they are relatively long-lasting. The average duration of groups in our sample was about 9 years. In addition, many groups engage in voluntary work. Our data also document that around 71% of grinw provide public goods ranging from common space cleaning to sensitization campaigns. Overall, we confirm that grinw embody the characteristics of groups thought to be capable of generating general trust and trustworthiness: diversity of membership, positive norms of reciprocity, substantial face-to-face interaction, and public goods provision.

TRUST GAMES

Experimental Design

We employ a trust game, first introduced by Berg, Dickhaut, and McCabe (Reference Berg, Dickhaut and McCabe1995), which is thought to be an improved measure as compared to self-reported trust and trustworthiness (Glaeser et al. Reference Glaeser, Laibson, Scheinkman and Soutter2000; Johansson-Stenman, Mahmud, and Martinsson Reference Johansson-Stenman, Mahmud and Martinsson2009; Karlan Reference Karlan2005). A number of related studies have used trust games to help reveal the ways citizens view and engage with in-group and out-group members (Becchetti, Conzo, and Romeo Reference Becchetti, Conzo and Romeo2014; Delavande and Zafar Reference Delavande and Zafar2015; Etang, Fielding, and Knowles Reference Etang, Fielding and Knowles2012; Fershtman and Gneezy Reference Fershtman and Gneezy2001). We use a between-subjects design, where about half of the respondents play the role of senders, which enables us to evaluate their levels of trust. The other half plays the role of receivers, which measures their trustworthiness. Trust is defined as the inclination of a person A (the sender) “to believe that another person B (the receiver) who is involved with a certain action will cooperate for A’s benefit and not take advantage of A,” while “trustworthiness is the willingness of a person B to act favorably toward a person A, when A has placed an implicit or explicit demand or expectation for action on B” (Ben-Ner and Halldorsson Reference Ben-Ner and Halldorsson2010, 65).

All players are instructed that they are playing with a stranger. Each sender is given $ 300 $ CFA Francs (about 50 cents in U.S. dollars at the time of our survey) and an envelope and told that their actions in the game would be anonymous. The endowment represents about 15% of the average daily wage or enough money to buy lunch. In addition, all players receive 200 CFA as compensation for participating in the game and survey. This was announced once a player was selected. Senders can decide to pass the receiver amounts of $ 0 $ , $ 100 $ , $ 200, $ or $ 300 $ CFA (no other amount is allowed: none of the 200 CFA of compensation can be passed on) in an envelope. The administrator explains that the amount given by the sender is tripled and delivered to the receiver. The receiver is provided with full information about the choices and information that were presented to the sender. Then the receiver (Player B) is told the actual amount given by the sender, and she returns any increment of $ 100 $ CFA Francs (ranging from $ 0 $ to a potential maximum of $ 900 $ : what player B could return came solely from what was sent by Player A). We record the amount given by the sender (Player A) to measure trust and the amount returned by the receiver (Player B) as trustworthiness. The game played is not repeated. Thus this one-shot game does not allow players to learn and adapt over multiple rounds.Footnote 16

Many papers find substantial in-group and out-group effects for salient identities (Carlin, Love, and Young Reference Carlin, Love and Young2020; Fowler and Kam Reference Fowler and Kam2007; Iyengar and Westwood Reference Iyengar and Westwood2015; Martini and Torcal Reference Martini and Torcal2019). We use linguistic identity to create in-group and out-group treatments. We operationalize “insider” and “outsider” status along a linguistic cleavage. Given our theoretical interest in general trust toward others in society, it is important to be specific in our discussion of those “others.”Footnote 17 Each sender is randomly assigned to one of three treatments, in which we manipulate the identity of their partner: (T1) playing with another Malian whose language is not specified (general trust/trustworthiness); (T2) playing with another Malian who speaks the same language at home as the selected player (in-group); and (T3) playing with another Malian who speaks a different language at home (out-group). Senders and receivers are then randomly matched based on the treatment, and their actual choices are implemented, to avoid any deception.

We choose linguistic identity over ethnicity due to the low politicization of ethnicity, high rates of intermarriage, and the fact that many different ethnic groups speak the market place language. We anticipate that linguistic cleavages send a stronger signal about group membership than ethnicity. In these diverse, multi-ethnic communities, an ethnic minority who uses the trading language at home, is distinct from a minority who speaks their mother tongue.

Sample and Data

The total sample of individuals playing the trust games and answering the questionnaire consists of 2,525 individuals: 754 nonmembers and 1,771 members. We sourced players for the trust game from two environments. First, from the 370 grinw selected for our group survey. Within each, four players are randomly selected among the members who are present at the time of our visit: members of the same grin all individually play as senders or as receivers, based on a random draw at the level of the grin. In turn, each of those four individuals plays the trust game according to one of the treatments, randomly selected. Second, we sourced respondents from several marketplaces in Bamako and Mopti.Footnote 18 In this environment, players were selected at random using a screening questionnaire. This allowed us to select members and nonmembers with specific characteristics (gender and age) similar to the pool sampled from the grinw. Two stations were set up at separate sides of each market. One station recruited senders and the other recruited receivers. Additional information on the way we selected individuals from grinw and the market and on the way they played the game is in Sections A.5 and A.6 of the Supplementary Materials. Among the members, 1,409 played during grin meetings and 362 at public market stalls.

We aimed for half of all respondents to play under the control condition (with other Malians—no language specified) and 25% to play treatment 2 (linguistic insiders), and 25% to play treatment 3 (linguistic outsiders). After the game is played, each respondent answers an individual survey. Table 2 provides descriptive statistics on the entire sample and the sub-sample of grin members under the different treatment conditions. We see that 58% of the sample plays the game with another Malian (our control category), 22% plays with someone who speaks the same language at home, and 20% play with someone who speaks a different language at home. Forty-four percent of games are played in the market. Slightly more than half of the sampled individuals played as a sender (52%).

Table 2. Individual Characteristics

Note: The table shows the mean for the whole sample and for different treatment arms: (T1) the trust game is played with another Malian whose language is not specified; (T2) playing with another Malian who speaks the same language at home as the selected player; and (T3) playing with another Malian who speaks a different language at home. Column 6 reports the p-value of a joint significance test of equality of means across treatment arms.

Our study sample is mostly male (83%); the average age is 26; a little over half of respondents speak a language other than Bambara.Footnote 19 About 12% have no schooling (the reference category in the analysis), 30% received basic or religious education, 30% attended up to secondary school, and 26% had professional or university education. Fewer than 60% of the respondents in our sample have some income-generating activities. Seventy percent of our sample are grin members, and the remaining 30% are nonmembers. The average household size is about 13 people, and in 22% of cases at least one household member comes from the North, which could generate another form of exposure to diverse populations. 59% of the sample is drawn from Mopti, and the remaining 41% from Bamako. We construct an index using reported household assets, ranging from 0 to 6, whose mean is 3.5. 74% of our respondents are risk averse (measured through hypothetical questions about a lottery game). Altruism is measured through the contribution in a hypothetical dictator game: respondents are invited to split an endowment of 300 CFA. Individuals give, on average, slightly more than half of this endowment (167.5 CFA). 19% of respondents had lent money to someone in the last six months. Details on the construction of these variables are provided in Section D of the Supplementary Material.

We evaluate results separately: senders’ (N=1,317) behavior proxies trust and receivers’ (N=1,208) behavior proxies trustworthiness. We measure our dependent variable, player’s contribution, in three ways: whether it is more than 0 (binary variable), the contribution as a share of the initial endowment (continuous variable), and whether it is more than 50% of the initial endowment (binary variable). On average, senders give 60% of their initial endowment, and receivers send back 38% of what they have been given by the sender. Ninety-two percent of senders and receivers give something to their partners.

Figure 1 offers a visual comparison of the differences between members and nonmembers across treatments. For senders, there are no significant differences in what nonmembers and members send for treatments T1 and T2. Nonmembers appear to send more (measured by TG contrib %) when treated with T3. For receivers and across treatments, members send back significantly more. Formal tests of mean differences are shown in Table D.1 of the Supplementary Material.

Figure 1. Share of Contributions for Senders and Receivers, by Treatments and Grin Membership

Note: We plot the mean of the share of the endowment given by treatment and for grin members and nonmembers. Whiskers indicate 95% confidence intervals.

RESULTS

The Impact of Grin Membership on Trust and Trustworthiness

We make a strategic choice to study organic groups because they are thought to be better at generating social capital than groups put together for the purpose of research (Krishna Reference Krishna2007; Ostrom Reference Ostrom, Dasgupta and Serageldin2000). Assessing the causal impact of grin membership on trust and trustworthiness is empirically challenging due to self-selection (Scacco and Warren Reference Scacco and Warren2018; Valdivieso and Villena-Roldan Reference Valdivieso and Villena-Roldan2014). Simple comparisons of outcomes between members ( $ {Y}_1 $ ) and nonmembers ( $ {Y}_0 $ ) may lead to biased results due to selection effects. This bias arises because members and nonmembers are selected groups that could potentially have different outcomes even in the absence of grin membership. The existence of observable and unobservable factors that potentially influence the decision to join a grin (selection process T) and the outcome of interest leads to the fallacy of simple comparison. PSM can be used to mitigate the selection bias problem under two main assumptions. First, the conditional independence assumption (CIA), that is, conditional on observable characteristics, X, potential outcomes are independent of treatment assignment. This means that selection is solely based on observable characteristics and that variables playing a role both in the treatment assignment (selection) and in the potential outcomes are actually observed. The second assumption is (weak) overlap or common-support condition. It ensures that, for each treated unit, there are control units with the same levels of X. Under the CIA and the overlap condition, the average treatment effect on the treated (ATT) can be identified as follows (Imbens Reference Imbens2004; Rosenbaum and Rubin Reference Rosenbaum and Rubin1983b):

(1) $$ \begin{array}{r}ATT=E({Y}_1-{Y}_0|T=1)=E({Y}_1|X,T=1)\\ {}-E({Y}_0|X,T=0)\end{array} $$

As matching on each of the characteristics included in X may become difficult when the number of dimensions increases, Rosenbaum and Rubin (Reference Rosenbaum and Rubin1983a) suggest using a propensity score $ P(X) $ . The propensity score is the individual probability of being treated given the observable characteristics: $ P(X)=P(T=1|X) $ . Under the CIA, $ {Y}_0 $ and $ {Y}_1 $ are independent of the treatment, conditional on $ P(X) $ . The propensity score satisfies the so-called balancing property, that is, observations with the same score value have the same distribution of observable characteristics regardless of treatment status; moreover, the exposure to treatment or control status is deemed random for a given value of the score. These properties allow the use of the propensity score as a summary metric of all X.

The selection of variables from the individual survey to be included in the PSM estimation follows the existing literature and the theory of group participation. We estimate the propensity score for grin membership vs nonmembership, using logit models (see Table E.1 in Appendix E of the Supplementary Material). The PSM specification included: gender, age, marital status, education, household size, having a member from the North living in the household, having an income-generating activity, household wealth, risk aversion (as measured by a lottery game), access to financial markets (saving and loans), geographical location, altruism (measured by the dictator game), and past lending behavior. Separate propensity scores are estimated for senders vs. receivers and for the different treatment sub-sample. By looking at the distribution of the propensity score for sender and receivers in Figures E.1 and E.2 in Section E of the Supplementary Material, one can see that the overlap assumption seems fulfilled.

We apply kernel matching to estimate the average treatment effects on the treated (ATT). We assess the quality of matching in an attempt to ensure balance in the distribution of covariates across members and nonmembers. We find that balance is satisfactory. Details are provided in Section E of the Supplementary Material.

In Table 3, we report the estimation results for the sender (Panel A) and for the receiver (Panel B). We find no effect of grin membership on trust. The only exception is that members give 9 percentage points less of their initial endowment as senders than nonmembers when playing under treatment 1. The fact that nonmembers give more as senders runs counter to our expectations. While this finding is less reliable across different specifications of the dependent variable than our finding on trustworthiness, we offer speculation as to why this might be the case. First, given a context of insecurity and surges in patriotism, there might be increased social desirability bias among nonmembers to give larger endowments to their partners as pro-social behavior (Gilligan, Pasquale, and Samii Reference Gilligan, Pasquale and Samii2014). Grin members might feel less social desirability bias since they are more likely to be integrated into a diverse friend group and/or already discussing the evolving current events. Second, when players imagine that they are playing with strangers, grin members might think of their grin as a reference category, which depresses relative assessments of strangers (outside of their group).

Table 3. The Impact of Membership on Trust and Trustworthiness, PSM Estimates

Note: The table reports PSM estimates of the impact of grin membership on trust and trustworthiness, overall and by treatment arms. Columns 1, 4, and 7 report the mean of the outcome among nonmembers. ATTs in columns 2, 5, and 8 are estimated using kernel matching. The propensity score is separately estimated for each subsample. Common support option is imposed. Columns 3, 6, and 9 report critical values of Rosenbaum’s bounds. They are expressed in ranges of $ \Gamma $ within which the upper bound of the test statistic turns insignificant ( $ p>0.1 $ ). Sample sizes for members and nonmembers are as follows. Senders: 868, 392 (All); 461, 256 (T1); 94, 69 (T2); 97, 67 (T3). Receivers: 817, 361 (All); 401, 242 (T1); 1033, 59 (T2); 101, 60 (T3). Bootstrapped standard errors are in parentheses. Sharpened q-values in square brackets control the false discovery rate for tests across treatments (Benjamini, Krieger, and Yekutieli Reference Benjamini, Krieger and Yekutieli2006; List, Shaikh, and Yang Reference List, Shaikh and Yang2019). *** $ p<0.01 $ , ** $ p<0.05 $ , * $ p<0.1 $ .

By contrast, we observe consistent evidence that being a member is associated with greater trustworthiness in the game—measured by players’ contributions in the role of receiver. Across all games, grin members give back around 12 percentage points more than nonmembers (column 5). Members’ heightened trustworthiness is significant across most outcome operationalizations of the dependent variable except when we measure the probability that someone gives more than 0.

When we focus on columns 5 and 8, we do not find evidence that the effects of group membership are significantly different across treatments, that is, the other player’s language (all $ p-values>0.1 $ ). We check the robustness of our results to multiple hypothesis testing, following the two-stage procedure for controlling the false discovery rate (FDR) proposed by Benjamini, Krieger, and Yekutieli (Reference Benjamini, Krieger and Yekutieli2006). Results for trustworthiness preserve a high degree of confidence, with false discovery rates below 0.03 for all significant coefficients. The only significant result for trust in Panel A reaches a false discovery rate of 0.076.

In the impossibility of directly testing for the Conditional Independence Assumption (CIA), we use the bounding approach suggested by Rosenbaum (Reference Rosenbaum2002) to check the sensitivity of the impact estimates to hidden bias. Overall, the results appear relatively robust to hidden bias, with the exception of general and out-group trustworthiness. More details are provided in Section E of the Supplementary Material. In that section, we also present various robustness checks. First, we repeat the PSM estimations using alternative matching algorithms in Table E.3 of the Supplementary Material and find qualitatively similar results. We also check whether our results are context-dependent by looking at the extent to which individuals who play the game within their grinw do so in a systematically different manner than those who played in the market. For that, we repeat the PSM estimations in Table E.4 in the Supplementary Material, restricting the sample to individuals who played the game in the market. We find suggestive evidence that membership is associated with a higher probability of contributing any positive amount for senders, hence fostering trust, and leads to an increase in the contribution and in the probability to give more than half of the endowment for receivers. Overall, results for receivers confirm previous findings. This mitigates the concern that context could play a significant role in driving our main results.

Individual and Group Determinants of Trust and Trustworthiness

We examine the extent to which individual characteristics of members, their experiences in grinw, and characteristics of their grinw correlate with trust and trustworthiness. For this, we use OLS regressions with the sub-sample of senders and receivers surveyed in their grinw. Results are shown and further discussed in Section F of the Supplementary Material. Results demonstrate few consistent patterns as few characteristics of individuals or of their grinw are predictive of trust or trustworthiness. We limit our discussion to a few notable exceptions that showed up in multiple specifications of the outcome variables and are relevant to our theoretical expectations.

First, in the sub-sample of grinw members in Tables F.1 and F2 of the Supplementary Material, individuals who had gotten economic support from members or who were part of a group that provided financial help gave more as receivers (trustworthiness). This is consistent with our expectations and suggests that past support in the network may affect how members play the game with strangers. Second, exposure to diversity did not have consistent correlations with trust or trustworthiness. However, a few of the related variables were significant. In particular, having household members from the North is correlated with trustworthiness.Footnote 20 Unexpectedly, having displaced persons join your group was correlated with lesser trustworthiness in the game. It may be that displaced persons told fellow grin members about their exposure to conflict or other experiences of displacement, which dampened norms and expectations of reciprocity. Third, contribution in the dictator game, a proxy of altruism, correlates positively with trust and trustworthiness.

Tables F.3 and F.4 in the Supplementary Material show the results for the full sample, including both grin members and nonmembers. Grin membership is positively and significantly associated with trustworthiness, confirming our earlier results from the PSM estimations. However, it appeared overall to play no significant role in trust (excluding a mildly positive one shown in column 7) which is not aligned with our PSM estimations. As before, contribution in the dictator game correlates positively with trust and trustworthiness. Having household members from the North positively correlates with trust but not trustworthiness. As in Carlin and Love (Reference Carlin and Love2013) we investigate whether receivers’ initial endowment, that is, the amount passed by the sender multiplied by three, correlates with trustworthiness. We find that it is positively associated with the probability of giving back and with that of giving back at least half of the endowment but not with the share of contribution given back.Footnote 21

From Table F.3 in Section F of the Supplementary Material we see that minority language speakers send a smaller percentage to co-language speakers (under treatment 2) in column 7. This means that when they are playing with someone who speaks the same language at home, they give a smaller percentage of their endowment than when Bambara speakers play with other Bambara speakers. However, this result is not robust when we look at other definitions of the dependent variable (TG contrib > 0 and TG contrib > 50%). We observe no such difference if we look at the subsample of receivers in Table F.4. In the subsample of members, we see the same trend: minority speakers giving less to co-language speakers under treatment 2 as senders (Table F.1). This result is consistent across all three definitions of the dependent variables. Once again, we observe no such difference if we look at the subsample of grin members playing as receivers in Table F.2. We might interpret this finding in a few different ways. First, it may be that people playing others who speak the same minority language feel less of a social desirability bias to be altruistic than those who are playing with a vaguer category of others who speak a market language. It might also be that grin members who are also minority language speakers, juxtapose their experience in the grin with their experience in the family compound. They self-select into this diverse setting and, as such, may be more skeptical (and less trusting) of others like them than of strangers. Again, we see no effect of minority language identity on trustworthiness.

Attitudinal Measures and Real-World Outcomes

We use data collected in the individual survey of members to run a series of regressions to assess whether behavior in the game, that is, the share of contribution, is correlated with attitudes on trust and tolerance, and related actual behavior, like volunteering. For the whole sample, we look at engagement in voluntary activities to help friends and the neighborhood.Footnote 22 We also look at self-reported responses to questions about trust toward various groups (same language, from the North, other ethnic groups, other languages).Footnote 23 We also ask a question about whether they agree with the statement that “most Malians are selfish.” As proxies for tolerance, we inquiry the extent to which individuals are willing to allow their child to marry someone from a salient ethnic group,Footnote 24 religion, and linguistic group (measured as a dichotomous variable).

For the sample of grinw members, we explore whether individual contributions in the trust game are correlated with grin-level outcomes related to public goods contribution. This includes whether groups carry out activities in the neighborhood, support economically members, and contribute to community amenities. Table 4 shows the relationship between senders’ behavior, reported real-world behavior, trust, and tolerance as well as grin activities for the sample of members from surveyed grinw. We find that a higher percentage of initial endowment sent by Player A is correlated with the respondent reporting they did voluntary work in the neighborhood. Contributions by senders are not significantly correlated with either self-reported trust and tolerance measures in Panels B and C. For the subsample of members, larger trust game contributions are correlated with a greater likelihood of being in a grin that conducts voluntary activities in the neighborhood.

Table 4. Correlation of Trust Game Contribution and Real-World Outcomes, Sample of Senders

Note: The table reports the correlation between the main trust game outcome (the contribution as a share of the endowment received) and the real-world outcomes reported in the headings. Regression coefficients are estimated for the sample of senders only. Panel D is based on the sample of grin members. In Panel A, voluntary hours are monthly; in Panel B, the measures of self-reported trust are on a 0–2 scale. Each regression also includes the following controls: female, age, lives in couple, basic or religious school, secondary school, tertiary school, household size, household member from the North, minority language, has income generating activity, asset index, risk averse, Mopti, contribution in the dictator game. Full results are shown in Section 5 of the Online Appendix. Sample sizes may vary due to missing values in the dependent variable. Robust standard errors are in parentheses. Sharpened q values in square brackets control the false discovery rate for tests across outcomes in each panel (Benjamini, Krieger, and Yekutieli Reference Benjamini, Krieger and Yekutieli2006). *** $ p<0.01 $ , ** $ p<0.05 $ , * $ p<0.1 $ .

Table 5 examines the same relationships, but this time in relation to the receivers’ behavior. We find more consistent evidence of the relationship between trustworthiness in the game and reported attitudes and behaviors. Those with greater contributions in the game report more hours helping friends and more hours doing voluntary work in the neighborhood. Giving more in the game as receiver is associated with greater reported trust of those speaking the same language, other ethnic groups, and those speaking another language. It is also associated with a higher likelihood of accepting a wedding with someone speaking a different language at home (our measure of tolerance). However, this correlation is not significant with accepting their child to marry someone from a salient ethnic group or from a different religion. Finally, in the subsample of members, those who gave more in the game as receivers were more likely to be from a grin that collected contributions from members to support the broader community.Footnote 25 We check the robustness of these results against multiple hypothesis testing. Results for receivers are broadly confirmed.

Table 5. Correlation of Trust Game Contribution and Real-World Outcomes, Sample of Receivers

Note: See notes in Table 4. Full results are shown in Tables E.3 and E.4 in Appendix E of the Supplementary Material.

Exploring Mechanisms with Focus Group Data

This section analyzes transcripts from focus groups in 66 out-of-sample grinw to trace the ways that respondents articulate causal linkages between membership in a grin and greater trustworthiness.Footnote 26 This approach privileges members’ understanding of general trustworthiness’ “internal causal influence mechanisms” (Laukkanen Reference Laukkanen2012, 5).Footnote 27

We conduct “organic” focus groups with participants in their grinw. Similar to Harris-Lacewell’s (Reference Harris-Lacewell2010) study of barbershops, Walsh’s (Reference Walsh2004) work on corner stores, and Wedeen’s (Reference Wedeen2007) ethnography of qat chews, we use this approach to create a relaxed, frank, and open discussion environment. Grinw have norms of equality, freedom of expression (and disagreement), and respect among members; they are ideal focus groups since they create a space for participants to agree or disagree and to work through complex phenomena (Cyr Reference Cyr2016). This methodology is particularly helpful as members need to justify and fully articulate their responses in front of the other respondents, which generates greater transparency about the mechanisms behind the responses. Since focus groups are conducted with a group of co-members, this also gives respondents a greater sense of power (and willingness to challenge) a moderator, than if we had grouped strangers together.Footnote 28

We ask respondents to narrate relationships between membership in grinw and broader patterns of social relations using the following four questions: What role do grinw play in Malian society ? Can grinw create social cohesion? Or do grinw create social divisions? Can grinw prevent people from achieving entente and unity with others who are not in the grinw? Do grin provide neighborhoods with access to public goods? If there were not grinw in Mali, what would the situation look like today? We use the Causal Map softwareFootnote 29 to analyze statements made by more than 330 active participants.Footnote 30 Following the logic of Goertz’s (Reference Goertz2017) within-case causal process tracing, we look for links between membership and general trustworthiness to better understand the mechanisms that could be driving this relationship. The transcript yields 1,402 paths between influence and consequence factors as stated by respondents. We narrow our analysis to the 555 statements that cite a grin or membership as an “influence factor” that affects some outcome.

The Causal Map in Figure 2 starts with references to membership in grinw as an influencing factor. It then filters for the top nine most frequently cited consequences factors. In Figure 2, the arrows indicate the direction of causation from influencing factor to consequence factors; the numbers indicate the frequency that a link (from influence to consequence factor) is mentioned.

Figure 2. Causal Map

Notes: Most frequently cited links from membership in a grin. The causal map highlights the relationship between membership (influencing factor) and the most-cited consequence factors. This includes respondents’ generalizations about what grinw do or specific references to experiences from their own grinw or other grinw they know. The map shows the top 15 links within the 10 variables. The arrows indicate movement from an influence factor to a consequence factor.

We first analyze the most frequently cited consequence factors to see if grin membership (as an influencing factor) is associated with trustworthiness and social cohesion or with negative consequences for broader society. The map indicates that three of the most-cited factors are broad pro-social consequence factors that we would associate with greater trustworthiness: social cohesion, peace and stability, and benefits society. In many instances, respondents referenced these outcomes without specifying the pathway. For instance, “Grinw even bring peace and social cohesion to the city (Grin 15 Bamako, Respondent 1).”

However, among the other most frequently cited consequence factors, we identify five pathways (Mahoney Reference Mahoney2012) that lead from membership to these pro-social outcomes: bonding, bridging, public goods provision, psychological support, and socialization.Footnote 31 Three of these are consistent with factors identified by existing literature as generating general trustworthiness: (1) facilitating bonding between members (named as a consequence of membership in all 555 statements); (2) bridging across society and expanding members’ networks (consequence of membership cited 112 times); and (3) public goods provision (consequence of membership cited 85 times). Two additional mechanisms emerged inductively from the coding: (4) socializing participants into pro-social norms (cited as a consequence 121 times); and (5) providing psychological support and stress relief (cited as a consequence 106 times).

Below, we include some direct citations from the transcripts to illustrate the different types of linkages between membership and social cohesion.Footnote 32 Every statement referenced membership as facilitating bonding, which refers to building reciprocal support and solidarity with group members. Respondents highlighted bonding as happening in three ways. They referenced (1) open discussion and idea-sharing to help collectively problem-solve for members, (2) reciprocal moral, material, and financial support, and (3) mutual empathy and understanding between members. Respondent 2 in Grin 2 explained, “the fact that the grin brings you together, that creates a solidarity between us the members, so that we know each other deeply and we support each other, I think this is very important—even for the country.” A member of a different grin in Bamako elaborated: “If I think that the grin can create peace and cohesion between us—(it’s) because we are together every day living the same sorrows, problems, worries on a daily basis, but that strengthens our social cohesion, creates love between us beyond mere camaraderie. Our grin looks like a family today. If one of us is experiencing difficulties, we inform everyone so that we can support him, and for this everyone does their best to respond to this cause. That’s why I say we have gone beyond the stage of friendship to that of kinship…” (Grin 10, R 1).

Since grin members are diverse, bonding unites members from different ethnolinguistic groups, locations, and socioeconomic strata. A respondent explains “[…] for example, we sit here, but we all come from different places, so grinw can consolidate the cohesion between people to the point of consolidating social kinship. For example, in a grin, some may arrive from Douentza, Bamako, Bandiagara, etc. This can origin of the creation of very deep social bonds between people. These connections can benefit all of us in our everyday life. So the grin members will have a lot in common. Grinw promote kinship, social cohesion and, above all, consolidate social relationships” (Grin 17, Sevare, Respondent 3). Another respondent in Mopti explained: “A grin is a good thing since we all come here joyfully and exchange peacefully on topics that we like without constraints or pressure. Additionally, grinw allow ethnic social mixing, as is the case here. There are several ethnic groups among us—Songhoy, Peuhl, Bambara, and so on” (Grin 11, Mopti, Respondent 3).

Another highly cited mechanism was “bridging.” As described by Putnam (Reference Putnam2000), bridging describes the process by which membership exposes members to new relationships and opens up new networks, which can foster social cohesion. By creating these bridges across ethno-linguistic, geographic, and class lines, grinw allow members to meet new people and develop a positive orientation toward their networks. For the purposes of this article, we define bridging as relationships that extend outside of the grin. A respondent from a grin in Bamako stresses how grinw build solidarity with broader networks: “When we are part of the same grin, it brings our respective families closer together, and a social solidarity develops between us and between our families…” (Grin 2, Respondent 1). Respondents also noted some specific ways that grinw facilitated bridging: in a few cases, by facilitating marriages between members, but also, most notably, by encouraging members to attend life events of other members. A respondent from a grin in Bamako talked about how he and fellow members traveled 7 hours up country to participate in a co-member’s wedding: “…the whole grin left Bamako to attend a marriage of one of our members in Mopti. Our arrival created not only a huge joy, but also a relief for our friend. Even more, it was the grin and its members that organized everything in Mopti. We did such a good job that after the marriage, his in-laws called us over to congratulate us on our actions” (Grin 6, Respondent 4). We know that grinw are diverse, so the act of getting to know other members’ families means that participants are gaining access to new networks.

The third mechanism was participation in public goods provision. These activities ranged from street cleaning, mentoring, and raising money for local infrastructure to sewage management. In the environment of increasing insecurity in Mopti and Sevare, one grin gave an example of how they provided surveillance and identified potential threats (Sevare, Grin 20, R1). Many others described their presence in the streets as contributing to security for the neighborhood (Bamako Grinw 4, 6, 17, 23, 25, 29; Mopti Grinw 12, 13, 16, 17; Sevare Grinw 14, 25, 26), some explicitly highlighting that they could play an even greater role if they solicited to do so (Bamako Grin 1, Mopti Grin 14). Social capital theory anticipates that participation in public goods provision and volunteerism can shape future engagement with society in a positive way. As Putnam (Reference Putnam2000) writes: “networks of community engagement can foster networks of reciprocity (20)”; this volunteerism shapes members’ orientation toward society more broadly (Putnam, Campbell, and Garrett Reference Putnam, Campbell and Garrett2012). These grin activities also linked into bridging as they helped them to meet and collaborate with nonmembers as they worked to achieve a goal. Members referenced the ways that grinw activities created interaction with nonmember neighbors.

Fourth, many respondents spoke of grinw as schools to socialize members into good behavior consistent with Malian social norms. These processes were expressed as a grin teaching or socializing members into good behavior or correcting bad (anti-social) behavior. As one member explained: “There are a lot of things in our assembling together. For example, some of us have bad behaviors. We try to correct those bad behaviors and, inversely, those that have a good orientation, we encourage them to continue on the right track…” (Grin 20, Bamako, Respondent 6). Mali has a strong heritage of Indigenous institutions, such as the sanankuya or cousinage, that were intentionally designed to promote pro-social behavior. Grinw are venues where sanankuya can be practiced and norms of peace and tolerance can be diffused. “In my view, if you see that we say Mali is a good place to live—it’s because of certain things, ‘cousinage’ and social cohesion, and that is translated by grinw at all levels and getting together creates social linkages that make grinw very important” (Grin 3, R 2).Footnote 33

Lastly, consistent with anthropological work (Bondaz Reference Bondaz2013; Masquelier Reference Masquelier2019; Schulz Reference Schulz2002), grinw provide psycho-social support to youth who have limited job opportunities, but are under a lot of pressure to provide for dependents. Participation in a group alleviates stress and provides participants with a sense of agency. Given the marginalized position of youth in a gerontocracy, one could imagine that these feelings of empowerment and stress release could contribute to broader social trustworthiness. A respondent from Sevare explained: “it allows us to forget about our worries and social problems. The grin is the only place where we are most comfortable in society. The grin connects us in joy as well as in sadness” (Grin 19, Respondent 2). Some studies have found stress to be an impediment to interpersonal trust (Guinot, Chiva, and Roca-Puig Reference Guinot, Chiva and Roca-Puig2014). To the extent that feeling relaxed and empowered motivates people to act in a more trustworthy manner, this may constitute an additional mechanism for generating pro-social behavior.

CONCLUSION

Our study offers mixed-methods evidence linking associational membership and the formation of general trustworthiness. We find that grin members are more trustworthy than nonmembers when playing trust games with strangers. Members send approximately 12% more back to their partners across all treatments. Additionally, we find evidence that trustworthiness in the game is significantly correlated with stated trust, tolerance, and real-life behaviors that we would associate with trustworthiness. We do not find differences in amounts sent across treatments, which suggests that the linguistic cleavages we use as the treatments are not as salient as we thought or that young, urban Malians are not as responsive to in-group or out-group distinctions as players in other contexts. Analysis of focus group data suggests that membership builds general trustworthiness through multiple mechanisms: bonding with diverse members, bridging, public goods provision, socialization, and psycho-social support.

The results supports the theoretical emphasis on trustworthy behavior as the key ingredient to general reciprocity (Hardin Reference Hardin1993; Putnam Reference Putnam2000). While general trust may be cemented in early life and very difficult to change (Uslaner Reference Uslaner2003), trustworthiness is thought to be more malleable. Associational membership is theorized to be able to impact trustworthy behavior by offering experience participating in reciprocity and by inculcating pro-social norms (Putnam Reference Putnam2000). When members are provided information about an endowment given by a partner, they may draw on these existing experiences and norms.

Results from PSM and OLS do not offer a consistent picture on whether grin membership plays a significant role on trust. Additionally, trust, as measured in the game we use, correlates positively with real-life behavior but less consistently than trustworthiness. This could come from two factors. Despite us controlling for altruism, the measure of trust we get from our game cannot be disentangled from inequality aversion or players having quasi-maximin preferences (Ashraf, Bohnet, and Piankov Reference Ashraf, Bohnet and Piankov2006). By contrast, the receiver’s action is thought to be a cleaner measure of trustworthiness. In that respect, our findings are consistent with some other trust game studies, which have found reported trustworthiness in the game (rather than trust) to be correlated with self-reported general trust (Glaeser et al. Reference Glaeser, Laibson, Scheinkman and Soutter2000; Karlan Reference Karlan2005).

There are important scope conditions for our findings. First, our sample is not representative of Malians. Our population of interest is 18–45. It is heavily male (83%), urban, and skewed toward members of grin (70%). The average grin member is less likely to be a head of household and more educated than the average Malian. We are mostly describing young, urban men in our sample and cannot speak to other important groups like urban women or rural dwellers (55% of Malians still live in rural areas). Second, since the period of study (2014–15), there has been a continued deterioration of the security situation, more entrenched junta leadership, and the expansion of armed groups in Mali. In an environment of greater suspicion and more limited discussion and debate, it is unclear whether grinw continue to play the same role in the current context.Footnote 34

The literature to which we contribute looks mostly at the correlation between membership in voluntary associations and answers to various yes or no questions proxying “generalized trust” or other measures of social engagement. Our work represents one of the very few attempts at investigating the correlation between such membership and results from a trust game. Given that, and despite us using a standard form of the trust game in our study design, we are unable to make direct comparisons to a comparable rich literature.

These findings point to the need to further explore the ways that informal associations, ubiquitous in urban Africa, may affect general trustworthiness. There is a great diversity of informal, youth groups in urban areas. Similar groups, such as fada in Niger (Masquelier Reference Masquelier2019), attaya in Senegal and Gambia, or street parliaments in Kenya, DRC, and Uganda (Banégas, Brisset-Foucault, and Cutolo Reference Banégas, Brisset-Foucault and Cutolo2012), exist in other African capitals. However, in other contexts, even grinw can be politicized and mobilized along cleavages and in ways that are at odds with a pro-social or general trustworthy orientation (Banegas Reference Banegas2011; Vincourt and Kouyaté Reference Vincourt and Kouyaté2012). Some of the mechanisms described by respondents, such as the presence of sanankuya or the reinforcement of pro-social norms, suggest that causal pathways within grinw may reflect specific aspects of Malian or Sahelien political culture. Mali is a relatively “extreme case” among countries in Africa as it appears to have relatively high reserves of general trust and trustworthiness relative to other countries on the continent (Logan, Seydou, and Katenda Reference Logan, Seydou and Katenda2020) and, thus, we should be cautious about generalization to urban associations in other countries without empirical testing (Seawright and Gerring Reference Seawright and Gerring2008)—particularly in deeply divided societies (Boix and Posner Reference Boix and Posner1998). Given the prominent role of associations in the Global South (Bratton Reference Bratton1989), it is worth understanding what types of groups or under what conditions youth groups contribute to or detract from general trust and trustworthiness.

SUPPLEMENTARY MATERIAL

To view supplementary material for this article, please visit https://doi.org/10.1017/S0003055423000709.

DATA AVAILABILITY STATEMENT

Research documentation and data that support the findings of this study are openly available at the American Political Science Review Dataverse: https://doi.org/10.7910/DVN/THYJ8J.

ACKNOWLEDGMENTS

We thank our research team in Mali with particular recognition of Youssouf Konde, Mahamane Maiga, Mamadou Guindo, Fadima “Batoma” Traore, and Kalifa ‘Le Vieux” Coulibaly. We also thank Callie Whelan, Josephine LeChartre, Thomas Mologne, and Paul Friesen for research assistance. Ana Arjona, Maria Bautista, Dave Campbell, Denis Cogneau, Sarah Daly, Coleman Donaldson, Sebastian Elischer, Gary Goertz, Mike Hoffman, Lauren Honig, Peter Johannessen, Karrie Koesel, Sean McGraw, Scott Mainwaring, Monika Nalepa, Steve Powell, Rachel Riedl, Ani Sarkissian, Luis Schiumerini, Idrissa Sidibe, Jazmin Sierra, Susanne Wengle, and members of the Department of International Affairs Comparative Politics and International Relations Workshop at the University of Georgia as well as members of Notre Dame’s Peace and Conflict Workshop provided helpful comments on previous drafts. The views expressed in the article are solely those of the authors and do not reflect the views of their employers or other associated parties. All errors are our own.

FUNDING STATEMENT

This research was funded by USAID-DRG Grant (DFG-11-APS-ND), the American Council of Learned Scholars, the Helen Kellogg Institute for International Studies at the University of Notre Dame, and the Scottish Institute for Research in Economics.

CONFLICT OF INTEREST

The authors declare no ethical issues or conflicts of interest in this research.

ETHICAL STANDARDS

The authors declare the human subjects research in this article was reviewed and approved by the Notre Dame IRB, Heriot Watt’s School of Management and Languages Ethics Officer, as well as the CNRST and l’Instat in Mali. Certificate numbers are provided in Section 7 of the Online Appendix. The authors affirm that this article adheres to the APSA’s Principles and Guidance on Human Subject Research.

Footnotes

1 We use the term general trust or trustworthiness to refer to trust and trustworthiness toward strangers in society. Other scholars refer to this same concept as social, thin, or diffuse trust/trustworthiness.

2 Social capital, as explained by Putnam (Reference Putnam2000), consists of “connections among individuals—social networks and reciprocity and trustworthiness that arise from them (19).”

3 Grin is singular in Bambara; the plural is grinw.

4 Prominent exceptions include Krishna (Reference Krishna2007) and the edited volume by Grootaert and van Bastelear (Reference Grootaert and van Bastelear2002).

5 Though there is a debate as to the extent to which experiences can shape general trust (Glanville and Paxton Reference Glanville and Paxton2007).

6 The exceptions are three previous rebellions led primarily by members of the Tuareg ethnic group. See Section 1 of the Online Appendix (available at the APSR Dataverse, Bleck et al. Reference Bleck, Bonan, LeMay-Boucher and Sarr2023) for more information on context.

7 This practice is so socially ingrained, that there is a formal social category of someone who hosts a stranger at their home as the stranger’s jatigi, which includes obligations to provide for that guest (Donaldson and Fenayon Reference Donaldson and Fenayon2023).

8 See Section 1 of the Online Appendix for additional information on the political and security environment.

9 Similarly, Mali ranks eighth in terms of Afrobarometer countries prioritizing national over ethnic identity and is among the lowest-ranked countries, with respondents reporting that they feel “treated unfairly” by others.

10 Respondents were asked: “Generally speaking, would you say that most people can be trusted or that you must be very careful in dealing with people?”

11 For the remainder of the article, we use Mopti to refer to the twin cities of Sevare and Mopti (located only 10 kilometers apart).

12 The data collection took place over 18 months between 2014 and 2015. Two of the authors were present for this entire period. The study’s timeline is described in Section 2 of the Online Appendix.

13 Table C.1 in the Supplementary Material shows the results from a linear probability model where the dependent variable is a dummy taking the value of 1 for individual grin membership, and 0 otherwise. It is regressed on a set of individual sociodemographic variables. Results are similar if we use probit or logit estimation techniques.

14 For a detailed description of variables operationalization, see Section D of the Supplementary Material.

15 The index is equal to 0 for ethnically homogeneous groups and to 1 for fully diverse groups, where all members belong to different ethnicities.

16 We report the protocol and the full trust game script in Section 4 of the Online Appendix.

17 Reliance on vague definitions of “general” trust raises concerns about what respondents are imagining when they think of “most people” (Delhey, Newton, and Welzel Reference Delhey, Newton and Welzel2011).

18 We were careful to select markets that were frequented by a cross-section of those living in Bamako including major markets where people buy fruit, meat, and fabric, but also the main market for cell phone supplies and repairs. Markets were geographically dispersed across the city.

19 Since Bambara is the dominant market language in Bamako and Mopti, we code all other languages as minority languages.

20 218 of the 568 respondents who claimed to have household members from the North came from ethnic groups we would typically associate with the three northern regions of the country: Tuareg, Songhroy, Arab, and Bella. The remaining respondents spanned ethnic groups found in the South, Center, and the whole of Malian territory.

21 However, we reject that the relationship is linear in most specifications: coefficients of the variables ‘Endowment received=900’ and ‘Endowment received=600’ in Table F.4 are positive and significantly different from the benchmark category (‘Endowment received=300’). However, we do not reject that they are equal in most models.

22 One variable captures the extensive margin, if they engaged in the activity or not. Another variable captures the intensive margin, by estimating the number of monthly hours they spend engaging in the activity.

23 Respondents were asked, on a 0–2 scale, about their trust toward different groups.

24 In most instances, we used Tuareg (the group associated with the start of the rebellion); when the respondent was Tuareg, we used Bambara ethnicity.

25 The same estimations for alternative definitions of the outcome variable (for TG contrib $ > $ 0 and TG contrib $ >50\% $ ) are presented in Section 5 of the Online Appendix. Results are broadly in line.

26 These groups are made up of members aged 18–45 and located in the same cities to mirror the groups in our sample.

27 We search for causal process observations, guided by theory, to probe potential mechanisms linking membership to greater general trustworthiness (Mahoney Reference Mahoney2012; Mahoney and Goertz Reference Mahoney and Goertz2006).

28 We recognize that this may bias the data in that members may be unlikely to denounce their own grin or its members and more likely to portray their own group in a positive light. However, given the norms of free exchange and debate, we believe that this bias would not skew responses to portray all groups positively.

29 This software enables us to input cause and effect statements as described by respondents and then develop a causal map charting mechanisms between membership and various outcomes: https://causalmap.app.

30 The actual number of participants was closer to 1,000, but 330 reflects the number of respondents who actively participated in the discussion. More detail on grinw selection and research protocol can be found in Section 6 of the Online Appendix.

31 In some instances, they describe this mechanism as an outcome without explicitly referencing the rest of the casual chain.

32 We exclude one of the most-cited consequence factors—information sharing. Though it may have a positive benefit for society, we do not have a reason to believe that it is linked to pro-social outcomes.

33 Also referenced by Grin 1 Bamako, R4, Grin 1 Sevare, R3.

34 See the Online Appendix Section 1 for a discussion of the increase in violence since the period of research ended.

References

Aldrich, Daniel P. 2012. Building Resilience: Social Capital in Post-Disaster Recovery. Chicago, IL: University of Chicago Press.CrossRefGoogle Scholar
Alesina, Alberto, and La Ferrara, Eliana. 2002. “Who Trusts Others?Journal of Public Economics 85 (2): 207–34.CrossRefGoogle Scholar
Ashraf, Nava, Bohnet, Iris, and Piankov, Nikita. 2006. “Decomposing Trust and Trustworthiness.” Experimental Economics 9 (3): 193208.CrossRefGoogle Scholar
Baldwin, Kate. 2013. “Why Vote with the Chief? Political Connections and Public Goods Provision in Zambia.” American Journal of Political Science 57 (4): 794809.CrossRefGoogle Scholar
Banegas, Richard. 2011. “Post-Election Crisis in Côte d’Ivoire: The Gbonhi War.” African Affairs 110 (440): 457–68.CrossRefGoogle Scholar
Banégas, Richard, Brisset-Foucault, Florence and Cutolo, Armando. 2012. Parlements de la Rue: Espaces Publics de la Parole et Citoyenneté en Afrique. Paris: Karthala Editions.Google Scholar
Bates, Robert H. 1974. “Ethnic Competition and Modernization in Contemporary Africa.” Comparative Political Studies 6 (4): 457–84.CrossRefGoogle Scholar
Becchetti, Leonardo, Conzo, Pierluigi, and Romeo, Alessandro. 2014. “Violence, Trust, and Trustworthiness: Evidence from a Nairobi Slum.” Oxford Economic Papers 66 (1): 283305.CrossRefGoogle Scholar
Benjamini, Yoav, Krieger, Abba M., and Yekutieli, Daniel. 2006. “Adaptive Linear Step-Up Procedures That Control the False Discovery Rate.” Biometrika 93 (3): 491507.CrossRefGoogle Scholar
Ben-Ner, Avner, and Halldorsson, Freyr. 2010. “Trusting and Trustworthiness: What Are They, How to Measure Them, and What Affects Them.” Journal of Economic Psychology 31 (1): 6479.CrossRefGoogle Scholar
Berg, Joyce, Dickhaut, John, and McCabe, Kevin. 1995. “Trust, Reciprocity, and Social History.” Games and Economic Behavior 10 (1): 122–42.CrossRefGoogle Scholar
Berman, Sheri. 1997. “Civil Society and the Collapse of the Weimar Republic.” World Politics 49 (3): 401–29.CrossRefGoogle Scholar
Bleck, Jaimie, Bonan, Jacopo, LeMay-Boucher, Philippe, and Sarr, Bassirou. 2023. “Drinking Tea with the Neighbors: Informal Clubs, General Trust, and Trustworthiness in Mali.” Harvard Dataverse. Dataset. https://doi.org/10.7910/DVN/THYJ8J.CrossRefGoogle Scholar
Boix, Carles, and Posner, Daniel N.. 1998. “Social Capital: Explaining Its Origins and Effects on Government Performance.” British Journal of Political Science 28 (4): 686–93.CrossRefGoogle Scholar
Bondaz, Julien. 2013. “Le Thé des Hommes. Sociabilités Masculines et Culture de la Rue au Mali.” Cahiers d’Études Africaines 53 (209–210): 6185.CrossRefGoogle Scholar
Bourdieu, Pierre. 2011. “The Forms of Capital (1986).” In Cultural Theory: An Anthology, eds. Imre Szeman and Timothy Kaposy, 8193. Oxford: Wiley-Blackwell.Google Scholar
Bowles, Samuel, and Gintis, Herbert. 2002. “Social Capital and Community Governance.” Economic Journal 112 (483): F419F436.CrossRefGoogle Scholar
Brandt, Mark J., Wetherell, Geoffrey, and Henry, P. J.. 2015. “Changes in Income Predict Change in Social Trust: A Longitudinal Analysis.” Political Psychology 36 (6): 761–8.CrossRefGoogle Scholar
Brass, Jennifer N. 2012. “Blurring Boundaries: The Integration of NGOs into Governance in Kenya.” Governance 25 (2): 209–35.CrossRefGoogle Scholar
Brass, Jennifer N. 2016. Allies or Adversaries: NGOs and the State in Africa. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Bratton, Michael. 1989. “Beyond the State: Civil Society and Associational Life in Africa.” World Politics 41 (3): 407–30.CrossRefGoogle Scholar
Cammett, Melani Claire, and MacLean, Lauren M.. 2011. “Introduction: The Political Consequences of Non-State Social Welfare in the Global South.” Studies in Comparative International Development 46 (1): 121.CrossRefGoogle Scholar
Carlin, Ryan E., Love, Gregory J., and Young, Daniel J.. 2020. “Political Competition, Partisanship, and Interpersonal Trust under Party Dominance: Evidence from Post-Apartheid South Africa.” Journal of Experimental Political Science 7 (2): 101–11.CrossRefGoogle Scholar
Carlin, Ryan, and Love, Gregory. 2013. “The Politics of Interpersonal Trust: An Experimental Approach.” Political Behavior 35 (1): 4363.CrossRefGoogle Scholar
Powell, Steve. 2023. Causal Map [Computer software]. https://causalmap.app.Google Scholar
Chambers, Simone, and Kopstein, Jeffrey. 2001. “Bad Civil Society.” Political Theory 29 (6): 837865.CrossRefGoogle Scholar
Cyr, Jennifer. 2016. “The Pitfalls and Promise of Focus Groups as a Data Collection Method.” Sociological Methods & Research 45 (2): 231–59.CrossRefGoogle Scholar
Delavande, Adeline, and Zafar, Basit. 2015. “Stereotypes and Madrassas: Experimental Evidence from Pakistan.” Journal of Economic Behavior & Organization 118: 247–67.CrossRefGoogle Scholar
Delhey, Jan, and Newton, Kenneth. 2003. “Who Trusts?: The Origins of Social Trust in Seven Societies.” European Societies 5 (2): 93137.CrossRefGoogle Scholar
Delhey, Jan, Newton, Kenneth, and Welzel, Christian. 2011. “How General Is Trust in ‘Most People’? Solving the Radius of Trust Problem.” American Sociological Review 76 (5): 786807.CrossRefGoogle Scholar
Dionne, Kim Yi. 2017. Doomed Interventions: The Failure of Global Responses to AIDS in Africa. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Donaldson, Coleman, and Fenayon, Antoine. 2023. “Manding (Bambara/Jula)-English-French Dictionary.” https://dictionary.ankataa.com/lexicon.php.Google Scholar
Dunning, Thad, and Harrison, Lauren. 2010. “Cross-Cutting Cleavages and Ethnic Voting: An Experimental Study of Cousinage in Mali.” American Political Science Review 104 (1): 2139.CrossRefGoogle Scholar
Ekeh, Peter P. 1975. “Colonialism and the Two Publics in Africa: A Theoretical Statement.” Comparative Studies in Society and History 17 (1): 91112.CrossRefGoogle Scholar
Etang, Alvin, Fielding, David, and Knowles, Stephen. 2011. “Does Trust Extend beyond the Village? Experimental Trust and Social Distance in Cameroon.” Experimental Economics 14 (1): 1535.CrossRefGoogle Scholar
Etang, Alvin, Fielding, David, and Knowles, Stephen. 2012. “Are Survey Measures of Trust Correlated with Experimental Trust? Evidence from Cameroon.” Journal of Development Studies 48 (12): 1813–27.CrossRefGoogle Scholar
Falk, Armin, Becker, Anke, Dohmen, Thomas, Enke, Benjamin, Huffman, David, and Sunde, Uwe. 2018. “Global Evidence on Economic Preferences.” Quarterly Journal of Economics 133 (4): 1645–92.CrossRefGoogle Scholar
Fehr, Ernst. 2009. “On the Economics and Biology of Trust.” Journal of the European Economic Association 7 (2–3): 235–66.CrossRefGoogle Scholar
Feigenberg, Benjamin, Field, Erica, Pande, Rohini, Rigol, Natalia, and Sarkar, Shayak. 2014. “Do Group Dynamics Influence Social Capital Gains among Microfinance Clients? Evidence from a Randomized Experiment in Urban India.” Journal of Policy Analysis and Management 33 (4): 932–49.CrossRefGoogle Scholar
Fershtman, Chaim, and Gneezy, Uri. 2001. “Discrimination in a Segmented Society: An Experimental Approach.” Quarterly Journal of Economics 116 (1): 351–77.CrossRefGoogle Scholar
Fowler, James H., and Kam, Cindy D.. 2007. “Beyond the Self: Social Identity, Altruism, and Political Participation.” Journal of Politics 69 (3): 813–27.CrossRefGoogle Scholar
Fukuyama, Francis. 1995. Trust. New York: Free Press.Google Scholar
Fukuyama, Francis. 2001. “Social Capital, Civil Society and Development.” Third World Quarterly 22 (1): 720.CrossRefGoogle Scholar
Gilligan, Michael J., Pasquale, Benjamin J., and Samii, Cyrus. 2014. “Civil War and Social Cohesion: Lab-in-the-Field Evidence from Nepal.” American Journal of Political Science 58 (3): 604–19.CrossRefGoogle Scholar
Glaeser, Edward L., Laibson, David I., Scheinkman, Jose A., and Soutter, Christine L.. 2000. “Measuring Trust.” Quarterly Journal of Economics 115 (3): 811–46.CrossRefGoogle Scholar
Glanville, Jennifer L., and Paxton, Pamela. 2007. “How Do We Learn to Trust? A Confirmatory Tetrad Analysis of the Sources of Generalized Trust.” Social Psychology Quarterly 70 (3): 230–42.CrossRefGoogle Scholar
Goertz, Gary. 2017. Multimethod Research, Causal Mechanisms, and Case Studies: An Integrated Approach. Princeton, NJ: Princeton University Press.Google Scholar
Gottlieb, Jessica, and Kosec, Katrina. 2019. “The Countervailing Effects of Competition on Public Goods Provision: When Bargaining Inefficiencies Lead to Bad Outcomes.” American Political Science Review 113 (1): 88107.CrossRefGoogle Scholar
Granovetter, Mark S. 1973. “The Strength of Weak Ties.” American Journal of Sociology 78 (6): 1360–80.CrossRefGoogle Scholar
Grootaert, Christiaan, and van Bastelear, Thierry. 2002. The Role of Social Capital in Development: An Empirical Assessment. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Guinot, Jacob, Chiva, Ricardo, and Roca-Puig, Vicente. 2014. “Interpersonal Trust, Stress and Satisfaction at work: An Empirical Study.” Personnel Review 43 (1): 96115.CrossRefGoogle Scholar
Gyimah-Boadi, Emmanuel. 1996. “Civil Society in Africa.” Journal of Democracy 7 (2): 118–32.CrossRefGoogle Scholar
Habyarimana, James, Humphreys, Macartan, Posner, Daniel N., and Weinstein, Jeremy M.. 2007. “Why Does Ethnic Diversity Undermine Public Goods Provision?American Political Science Review 101 (4): 709–25.CrossRefGoogle Scholar
Hardin, Russell. 1993. “The Street-Level Epistemology of Trust.” Politics & Society 21 (4): 505–29.CrossRefGoogle Scholar
Hardin, Russell. 1996. “Trustworthiness.” Ethics 107 (1): 2642.CrossRefGoogle Scholar
Harris-Lacewell, Melissa Victoria. 2010. Barbershops, Bibles, and BET: Everyday Talk and Black Political Thought. Princeton, NJ: Princeton University Press.Google Scholar
Henrich, Joseph, Boyd, Robert, Bowles, Samuel, Camerer, Colin, Fehr, Ernst, Gintis, Herbert, and McElreath, Richard. 2001. “In Search of Homo Economicus: Behavioral Experiments in 15 Small-Scale Societies.” American Economic Review 91 (2): 73–8.CrossRefGoogle Scholar
Hern, Erin. 2019. Developing States, Shaping Citizenship: Service Delivery and Political Participation in Zambia. Ann Arbor: University of Michigan Press.CrossRefGoogle Scholar
Hooghe, Marc, and Stolle, Dietlind. 2003. Generating Social Capital: Civil Society and Institutions in Comparative Perspective. New York: Springer.CrossRefGoogle Scholar
Ibrahim, Ibrahim Yahaya. 2021. “Jihadist Insurgencies in the Sahel.” In The Oxford Handbook of the African Sahel, ed. Villalon, Leonardo, 569–86. New York: Oxford University Press.CrossRefGoogle Scholar
Imbens, Guido. 2004. “Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review.” Review of Economics and Statistics 86 (1): 429.CrossRefGoogle Scholar
Iyengar, Shanto, and Westwood, Sean J.. 2015. “Fear and Loathing across Party Lines: New Evidence on Group Polarization.” American Journal of Political Science 59 (3): 690707.CrossRefGoogle Scholar
Johansson-Stenman, Olof, Mahmud, Minhaj, and Martinsson, Peter. 2009. “Trust and Religion: Experimental Evidence from Rural Bangladesh.” Economica 76 (303): 462–85.CrossRefGoogle Scholar
Johnson, Cathryn Evangeline. 2021. “Connecting Malian and Burkinabe Women’s Local Experiences of Livelihood Security to How They Participate in Politics.” World Development 137: 105157. https://doi.org/10.1016/j.worlddev.2020.105157.CrossRefGoogle Scholar
Kang, Alice J. 2015. Bargaining for Women’s Rights: Activism in an Aspiring Muslim Democracy. Minneapolis: University of Minnesota Press.CrossRefGoogle Scholar
Karlan, Dean S. 2005. “Using Experimental Economics to Measure Social Capital and Predict Financial Decisions.” American Economic Review 95 (5): 1688–99.CrossRefGoogle Scholar
Knack, Stephen, and Keefer, Philip. 1997. “Does Social Capital Have an Economic Payoff? A Cross-Country Investigation.” Quarterly Journal of Economics 112 (4): 1251–88.CrossRefGoogle Scholar
Koter, Dominika. 2016. Beyond Ethnic Politics in Africa. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Krishna, Anirudh. 2007. “How Does Social Capital Grow? A Seven-Year Study of Villages in India.” Journal of Politics 69 (4): 941–56.CrossRefGoogle Scholar
Laukkanen, Mauri. 2012. “Comparative Causal Mapping and CMAP3 Software in Qualitative Studies.” Forum Qualitative Sozialforschung/Forum: Qualitative Social Research 13 (2). https://doi.org/10.17169/fqs-13.2.1846.Google Scholar
LeMay-Boucher, Philippe. 2012. “Insurance for the Poor: The Case of Informal Insurance Groups in Benin.” Journal of Development Studies 48 (9): 1258–73.CrossRefGoogle Scholar
Levi, Margaret, and Stoker, Laura. 2000. “Political Trust and Trustworthiness.” Annual Review of Political Science 3: 475507.CrossRefGoogle Scholar
List, John A., Shaikh, Azeem M., and Yang, Xu. 2019. “Multiple Hypothesis Testing in Experimental Economics.” Experimental Economics 22 (4): 773–93.CrossRefGoogle Scholar
Logan, Carolyn, Seydou, Aminatou, and Katenda, Luyando Mutale. 2020. “Ties That Bind? Evidence of Both Unity and Division in 18 African Countries.” Afrobarometer Dispatch 412: 119.Google Scholar
Mahoney, James. 2012. “The Logic of Process Tracing Tests in the Social Sciences.” Sociological Methods & Research 41 (4): 570–97.CrossRefGoogle Scholar
Mahoney, James, and Goertz, Gary. 2006. “A Tale of Two Cultures: Contrasting Quantitative and Qualitative Research.” Political Analysis 14 (3): 227–49.CrossRefGoogle Scholar
Martini, Sergio, and Torcal, Mariano. 2019. “Trust across Political Conflicts: Evidence from a Survey Experiment in Divided Societies.” Party Politics 25 (2): 126–39.CrossRefGoogle Scholar
Masquelier, Adeline. 2019. Fada: Boredom and Belonging in Niger. Chicago, IL: University of Chicago Press.CrossRefGoogle Scholar
McCauley, John F. 2017. The Logic of Ethnic and Religious Conflict in Africa. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
McClendon, Gwyneth, and Riedl, Rachel Beatty. 2015. “Religion as a Stimulant of Political Participation: Experimental Evidence from Nairobi, Kenya.” Journal of Politics 77 (4): 1045–57.CrossRefGoogle Scholar
Moser, Caroline, and McIlwaine, Cathy. 2006. “Latin American Urban Violence as a Development Concern: Towards a Framework for Violence Reduction.” World Development 34 (1): 89112.CrossRefGoogle Scholar
Newton, Kenneth. 2001. “Trust, Social Capital, Civil Society, and Democracy.” International Political Science Review 22 (2): 201–14.CrossRefGoogle Scholar
Ostrom, Elinor. 2000. “Social Capital: A Fad or a Fundamental Concept?” In Social Capital: A Multifaceted Perspective, eds. Dasgupta, Partha and Serageldin, Ismail, 172214. Washington, DC: The World Bank.Google Scholar
Ostrom, Elinor, and Ahn, Toh-Kyeong. 2009. “The Meaning of Social Capital and Its Link to Collective Action.” In Handbook of Social Capital: The Troika of Sociology, Political Science and Economics, 1735. Northhampton, MA: Edward Elgar.Google Scholar
Paller, Jeffrey W. 2014. “Informal Institutions and Personal Rule in Urban Ghana.” African Studies Review 3 (57): 123–42.CrossRefGoogle Scholar
Portes, Alejandro. 1998. “Social Capital: Its Origins and Applications in Modern Sociology.” Annual Review of Sociology 24: 124.CrossRefGoogle Scholar
Putnam, Robert. 2000. Bowling Alone: America’s Declining Social Capital. New York: Springer.Google Scholar
Putnam, Robert D., Campbell, David E., and Garrett, Shaylyn Romney. 2012. American Grace: How Religion Divides and Unites Us. New York: Simon and Schuster.Google Scholar
Rosenbaum, Paul R. 2002. Observational Studies. New York: Springer.CrossRefGoogle Scholar
Rosenbaum, Paul R., and Rubin, Donald B.. 1983a. “Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome.” Journal of the Royal Statistical Society: Series B (Methodological) 45 (2): 212–18.CrossRefGoogle Scholar
Rosenbaum, Paul R., and Rubin, Donald B.. 1983b. “The Central Role of the Propensity Score in Observational Studies for Causal Effects.” Biometrika 70 (1): 4155.CrossRefGoogle Scholar
Rothstein, Bo. 2013. “Corruption and Social Trust: Why the Fish Rots from the Head Down.” Social Research 80 (4): 1009–32.CrossRefGoogle Scholar
Rothstein, Bo, and Stolle, Dietlind. 2008. “The State and Social Capital: An Institutional Theory of Generalized Trust.” Comparative Politics 40 (4): 441–59.CrossRefGoogle Scholar
Samassékou, Adama. 2011. “From Eurocentrism to a Polycentric Vision of the World: Advocacy for a Paradigm Shift.” Diogenes 58 (1–2): 147–58.CrossRefGoogle Scholar
Sangaré, Boukary. 2016. “Le Centre du Mali: Épicentre du Djihadisme?” Groupe de Recherche et d’Information sur la Paix et la Sécurité: Note d’Analyse.Google Scholar
Scacco, Alexandra, and Warren, Shana. 2018. “Can Social Contact Reduce Prejudice and Discrimination? Evidence from a Field Experiment in Nigeria.” American Political Science Review 112 (3): 654–77.CrossRefGoogle Scholar
Schulz, Dorothea E. 2002. “‘The World Is Made by Talk’ Female Fans, Popular Music, and New Forms of Public Sociality in Urban Mali.” Cahiers d’Études Africaines (4): 797830.Google Scholar
Seawright, Jason, and Gerring, John. 2008. “Case Selection Techniques in Case Study Research: A Menu of Qualitative and Quantitative Options.” Political Research Quarterly 61 (2): 294308.CrossRefGoogle Scholar
Skinner, Ryan Thomas. 2015. “An Afropolitan Muse.” Research in African Literatures 46 (2): 1531.CrossRefGoogle Scholar
Stolle, Dietlind. 1998. “Bowling Together, Bowling Alone: The Development of Generalized Trust in Voluntary Associations Source.” Political Psychology 19 (3): 497525.CrossRefGoogle Scholar
Stolle, Dietlind. 2001. “Clubs and Congregations: The Benefits of Joining an Association.” In Trust in Society, ed. Karen S. Cook 202–44. New York: Russell Sage Foundation.Google Scholar
Stolle, Dietlind. 2002. “Trusting Strangers—The Concept of Generalized Trust in Perspective.” Austrian Journal of Political Science 31 (4): 397412.Google Scholar
Stolle, Dietlind. 2003. “The Sources of Social Capital.” In Generating Social Capital: Civil Society and Institutions in the Comparative Perspective, eds. Hooghe, Marc and Stolle, Dietlind, 1942. New York: Springer.CrossRefGoogle Scholar
Stolle, Dietlind, and Rochon, Thomas R.. 1998. “Are All Associations Alike? Member Diversity, Associational Type, and the Creation of Social Capital.” American Behavioral Scientist 42 (1): 4765.CrossRefGoogle Scholar
Tripp, Aili Mari. 2001. “Women and Democracy: The New Political Activism in Africa.” Journal of Democracy 12 (3): 141–55.CrossRefGoogle Scholar
Uslaner, Eric M. 2003. “Varieties of Trust.” European Political Science 2 (3): 43–9.CrossRefGoogle Scholar
Uslaner, Eric M. 2008. “Where You Stand Depends Upon Where Your Grandparents Sat: The Inheritability of Generalized Trust.” Public Opinion Quarterly 72 (4): 725–40.CrossRefGoogle Scholar
Uslaner, Eric M. 2016. “Who Do You Trust?” In Interdisciplinary Perspectives on Trust: Towards Theoretical and Methodological Integration, eds. Ellie Sockley, Tess M.S. Neal, Lisa M. PytlikZillig, and Brian H. Bornstein, 7183. Cham, CH: Springer.CrossRefGoogle Scholar
Valdivieso, Patricio, and Villena-Roldan, Benjamin. 2014. “Opening the Black Box of Social Capital Formation.” American Political Science Review 108 (1): 121–43.CrossRefGoogle Scholar
Vincourt, Sarah, and Kouyaté, Souleymane. 2012. “Ce que ‘Parler au Grin’ Veut Dire: Sociabilité Urbaine, Politique de la Rue et Reproduction Sociale en Côte d’Ivoire.” Politique Africaine 3: 91108.CrossRefGoogle Scholar
Walsh, Katherine Cramer. 2004. Talking about Politics: Informal Groups and Social Identity in American Life. Chicago, IL: University of Chicago Press.Google Scholar
Wedeen, Lisa. 2007. “The Politics of Deliberation: Qat Chews as Public Spheres in Yemen.” Public Culture 19 (1): 5984.CrossRefGoogle Scholar
Yamagishi, Toshio, and Yamagishi, Midori. 1994. “Trust and Commitment in the United States and Japan.” Motivation and Emotion 18 (2): 129–66.CrossRefGoogle Scholar
Figure 0

Table 1. Grin Characteristics

Figure 1

Table 2. Individual Characteristics

Figure 2

Figure 1. Share of Contributions for Senders and Receivers, by Treatments and Grin MembershipNote: We plot the mean of the share of the endowment given by treatment and for grin members and nonmembers. Whiskers indicate 95% confidence intervals.

Figure 3

Table 3. The Impact of Membership on Trust and Trustworthiness, PSM Estimates

Figure 4

Table 4. Correlation of Trust Game Contribution and Real-World Outcomes, Sample of Senders

Figure 5

Table 5. Correlation of Trust Game Contribution and Real-World Outcomes, Sample of Receivers

Figure 6

Figure 2. Causal MapNotes: Most frequently cited links from membership in a grin. The causal map highlights the relationship between membership (influencing factor) and the most-cited consequence factors. This includes respondents’ generalizations about what grinw do or specific references to experiences from their own grinw or other grinw they know. The map shows the top 15 links within the 10 variables. The arrows indicate movement from an influence factor to a consequence factor.

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