Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-22T04:35:51.904Z Has data issue: false hasContentIssue false

Formal and informal institutions: understanding the shadow economy in transition countries

Published online by Cambridge University Press:  11 January 2023

Klarita Gërxhani*
Affiliation:
School of Business and Economics, Free University Amsterdam, De Boelelaan 1105, 1081 Amsterdam, HV, The Netherlands
Stanisław Cichocki
Affiliation:
Faculty of Economic Sciences, University of Warsaw, Ul. Długa 44/50, 00-241 Warsaw, Poland
*
*Corresponding author. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

This paper reviews work that tests (1) how formal and informal institutions, and especially their interaction, affect participation in the shadow economy in transition countries; and (2) how participating in these shadow economies affects individuals' well-being. The key findings are that a clash of individuals' perceptions of formal institutions with their informal institutions increases involvement in the shadow economy. Conversely, a trustworthy relationship with the government and other individuals makes people more inclined to comply. The importance of their social and institutional context also appears in how individuals' involvement in the shadow economy relates to their well-being. These findings complement insights from the rich literature on tax morale, on the exchange between public institutions and citizens and between culture and institutions more generally. The findings also contribute to the institutional economic literature by empirically showing that: (1) focusing on formal institutions alone, that is strengthening the rule of law, is a necessary but insufficient response to the shadow economy; (2) taking informal institutions, such as individuals' trust and tax morale, into account is of equal importance; and (3) most importantly, formal and informal institutions go hand in hand, and their interaction should be an essential part of the new institutional perspective.

Type
Review 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 (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of Millennium Economics Ltd.

1. Introduction

All countries experience some degree of the shadow economy, also known as the informal sector, underground economy or grey economy.Footnote 1 Yet, some countries have a larger shadow economy than others (Kelmanson et al., Reference Kelmanson, Kirabaeva, Medina, Mircheva and Weiss2019; Medina and Schneider, Reference Medina and Schneider2018). In the Western world, transition countries (i.e. former communist countries) are amongst those with the largest shadow economies.Footnote 2 During the final years of communism and after its fall, these countries experienced a slowdown of growth that later led to growth contraction, a massive output fall and rising unemployment (Campos and Coricelli, Reference Campos and Coricelli2002). They also witnessed a complexity of institutional and societal changes during transformation. As a consequence, their shadow economies increased significantly (Eilat and Zinnes, Reference Eilat and Zinnes2002; Schneider and Enste, Reference Schneider and Enste2000), which in turn can lead to negative implications reaching all levels of society. At the macro level, these implications include reduced tax revenues, budget deficits and a lower quantity and quality of public goods. At the meso level, think of competition between compliant and non-compliant firms and organizations; while at the micro level, individuals can experience lower pensions, reduced social security benefits in the case of losing a job, limited entitlement to loans and credits and an overall lower well-being. Ultimately, shadow economies can affect the overall trust in state authority and in others at the societal level.

In this paper, we focus on the micro level and try to offer an overview of the empirical research on drivers of informality at the individual level in transition countries. The thread underlying the overviewed research is their new institutional approach, where institutions are seen as systems of established and prevalent social rules that structure social interactions (Hodgson, Reference Hodgson2006). Importantly, they employ the distinction between formal institutions such as laws related to labour arrangements or taxes, on the one hand (Calcagno and Lopez, Reference Calcagno and Lopez2017), and on the other, informal institutions that are those that fall outside the scope of laws, e.g. norms or tax morale (Andriani et al., Reference Andriani, Bruno, Douarin and Stepien-Baig2022).

This distinction involves a theoretical approach that provides an important framework for studying the shadow economy in former communist countries, because institutional change is the defining feature of transition economies: ‘any inquiry into the causes and ultimate consequences of the transition must include an analysis of the incentives and sanctions governing various types of underground economic activities’ (Feige, Reference Feige, Nelson, Tilley and Walker1997: 24). However, in the late 1990s, there was little empirical evidence on the relationship between institutions and individuals' involvement in the shadow economy, and hardly any in transition countries. The research we present below includes some of the pioneering work that empirically tests North's (Reference North1990) and Feige's (Reference Feige, Nelson, Tilley and Walker1997) theoretical contributions by recognizing not only the importance of formal and informal institutions for understanding the shadow economy, but by also considering their interaction and enforcement. In a nutshell, the main argument of this new institutional perspective is that a proper functioning of the economy needs the formal and informal institutions to be complementary and well enforced. When they are not, transaction costs increase, economic performance decreases and non-compliant behaviour prospers (Feige, Reference Feige, Nelson, Tilley and Walker1997; North, Reference North1994; Pejovich, Reference Pejovich1999). Such outcomes are more likely to be expected in transition countries due to the incompatibility between the radically changed formal institutions and the more resistant informal institutions (Helmke and Levitsky, Reference Helmke and Levitsky2003; Pejovich, Reference Pejovich1999). Against this theoretical backdrop, the main contribution of the empirical research we discuss here is in showing: (1) whether and how both types of institutions, their interaction and their enforcement affect individuals' participation in the shadow economy in transition countries and (2) how, in turn, participating in these shadow economies affects individuals' well-being.

Most of the empirical research presented below is based on Albania as a case study. Albania offers an ideal environment to test the new institutional perspective. Contrary to other transition countries, which had carefully introduced some form of free-market institutions during communism, Albania had remained completely isolated and was the last country to allow democratic changes at the beginning of the 1990s. In other words, at the onset of the transition period, the contrast between formal and informal institutions in Albania was rather black and white. The change from former communist institutions to the new ‘private-property-based’ institutions was radical, while the historically ingrained informal institutions were still in place. At the same time, the country fell into a deep economic crisis, which was accompanied by a rapid increase of the shadow economy (Gërxhani, Reference Gërxhani and Bezemer2009). For all these reasons, Albania offers an optimal ‘test bed’ of whether participation in the shadow economy is related to the incompatibility between formal and informal institutions. To contrast the empirical findings from an ‘ideal context’ such as in Albania, we also discuss some empirical studies from other transition countries that were not as extreme in their economic and institutional background (Beck and Laeven, Reference Beck and Laeven2006; Tridico, Reference Tridico2013).

Finally, the overview focuses on two aspects of the shadow economy, namely tax evasion and informal work. Tax evasion refers to ‘illegal actions to reduce tax liability’ (Slemrod, Reference Slemrod2019: 906), while informal work is defined as ‘all jobs in informal sector enterprises, or all persons who, during a given reference period, were employed in at least one informal sector enterprise’ (Hussmanns, Reference Hussmanns2005:2). Various studies have shown that evading taxes is an important motive for individuals engaging in informal work, especially in transition countries (Franic, Reference Franic2020; Gërxhani, Reference Gërxhani2004a; Meriküll and Staehr, Reference Meriküll and Staehr2010).

The rest of this paper is structured as follows: in the next section we discuss the individual and structural determinants of participation in the shadow economy. Such determinants include the interaction between formal and informal institutions, opportunities to evade taxes, and differences across gender, education and trust. We present the effects of participating in the shadow economy on individuals' well-being in section 3, followed by the concluding section.

2. Individual and structural determinants of participating in the shadow economy

2.1 Institutional interaction and the shadow economy

After the breakdown of communism, many former communist countries entered a transition phase from a planned to a free-market economy. This transition phase was characterized by a fall in output, growth contraction, high rates of unemployment, poverty and social insecurity, which were rapidly being buffered by an increasing informal sector. At the same time, the economic transition was accompanied by a complete overhaul of the former formal governing institutions. This led to a paradox of formal institutions changing rapidly and radically, while informal institutions – the norms and traditions established during 45 years of communism – changed much less so. As argued by North (Reference North1994: 366), norms provide ‘legitimacy’ to formal rules and a revolutionary change in formal institutions will be hampered by norms that lag behind. In line with North's argument, Feige (Reference Feige, Nelson, Tilley and Walker1997) posited the hypothesis that a clash between formal and informal institutions would lead to more non-compliant behaviour and thus more underground activities.

The study by Gërxhani (Reference Gërxhani2004b) was probably the first study to use micro-economic data to test this hypothesis. In 2000, she conducted a field survey in an urban area of Tirana, the capital of Albania, which provided an ideal environment to empirically test Feige's hypothesis and contribute to the new institutional approach (see Gërxhani, Reference Gërxhani2004b for a detailed description of the study). The method used was a ‘self-administered’ questionnaire, also known as a ‘hand-delivered and collected questionnaire’ (Tindigarukayo, Reference Tindigarukayo2001). This method combines a structured questionnaire with the personal touch of: (1) explaining face-to-face the main aspects of the questionnaire to the participants, and (2) personally collecting the completed questionnaire at a later agreed-upon time. A total of 1,500 households were randomly selected to participate, with the main income earner being targeted as the respondent. Of this sample, 89.3% completed the questionnaire.Footnote 3 For a detailed description of the field survey and the questionnaire, see Gërxhani (Reference Gërxhani2007a).Footnote 4

The data contain information on individuals' monthly income and taxes, and this information was used to estimate the dependent variable – individuals' extent of tax evasion with respect to personal and business income. The data also contain information on individuals' attitudes towards a series of statements related to formal and informal institutions. These attitudes were the basis of the empirical measures of people's perceptions of formal institutions and people's tax-related social norms (i.e. tax morality). These measures were included in the empirical analysis in their own right, but were also used to create the main independent variable, which was a measure of the ‘institutional clash’ between people's perceptions of formal and informal institutions. Finally, the questionnaire collected information on individuals' socio-economic and demographic attributes, such as age, education, gender and sector of work, which were used as controls.

The results of the main regression used to test Feige's hypothesis are summarized in Table 1.

Table 1. Institutions and tax evasion

Notes: The table summarizes the results of an ordered Probit regression where the dependent variable is a measure of the extent of evasion of the income tax concerned. It is measured on a discrete five-point scale (cf. Gërxhani, Reference Gërxhani2004b). ‘No’ indicates that there is no statistically significant effect of the variable concerned. ‘Yes’ indicates a positive and statistically significant effect.

A key finding of this study is that the variable that measures the clash between the two types of institutions has a positive and statistically significant effect on the evasion of both income tax types.Footnote 5 This means that more tax evasion behaviour is observed when the perception of formal institutions clashes with individuals' informal institutions. This finding supports Feige's hypothesis. Even when formal or informal institutions themselves are not (both) related to tax evasion, the interaction between the two is related to tax evasion. This is precisely what a later study (Williams et al., Reference Williams, Franic and Dzhekova2014) found in Bulgaria. Based on Eurobarometer data from 1,018 face-to-face interviews conducted during 2013, they report that the greater the non-alignment of informal institutions with formal institutions, the higher the participation in the Bulgarian shadow economy. The consistent findings in these two studies confirm the importance of simultaneously considering both types of institutions when studying individual engagement in the shadow economy. Doing so is most pertinent for transition countries that have undergone a radical institutional restructuring.

2.2 Gender and the shadow economy

Does the relationship between individuals' perceptions of formal and informal institutions and their participation in the shadow economy vary according to individuals' attributes, such as gender? Empirical research shows that women evade taxes less often than men do, irrespective of whether one looks at developed countries (e.g. Doerrenberger and Peichl, Reference Doerrenberg and Peichl2022; Flathmann and Sheffrin, Reference Flathmann and Sheffrin2003; Franic and Cichocki, Reference Franic and Cichocki2022; Giese and Hoffman, Reference Giese and Hoffman1999; Kedir et al., Reference Kedir, Fethi and Williams2011; Torgler, Reference Torgler2002) or transition countries (Hanousek and Palda, Reference Hanousek and Palda2002; Merikull and Staehr, Reference Meriküll and Staehr2010). While some studies in the mid-2000s hinted at gender differences in tax moraleFootnote 6 (e.g. Molero and Pujol, Reference Molero and Pujol2004), little was known about the reasons underlying gender differences in tax evasion.

Using the data set described above, Gërxhani (Reference Gërxhani2007b) tries to find out more by asking two research questions: (1) are there gender differences in tax evasion behaviour in Albania?, and (2) if yes, is there an institutional explanation? The second question is motivated by the new institutional approach and implies that gender differences in tax evasion behaviour could be explained by the different ways in which men and women participating in the informal sector experience formal and informal institutions and their interaction.

The results of this study show that women evade both personal and business income tax less frequently than men do, and the differences are statistically significant at the 5% level. Turning the attention to the role of institutions, women and men do not appear to differ much in their experience of a clash between formal and informal institutions. This is also reflected in how institutions affect their tax evasion behaviour; at the 5% level, women do not react differently to men to formal or informal institutions, nor to the clash between the two. Therefore, Gërxhani (Reference Gërxhani2007b) concludes that the new institutional theory does not seem to explain much of the gender difference in tax evasion in Albania. Instead, the segregation of the labour market in Tirana may provide a better explanation. Female main income earners are largely concentrated in the state sector, which leaves little room for evasion (taxes are automatically withdrawn from one's monthly salary). Male main income earners, on the other hand, work mainly in the unofficial private sector and in their own small businesses, two parts of the economy that are highly associated with higher tax evasion. However, the author rightly questions whether women are intrinsically less inclined to evade taxes and therefore self-select into public sector jobs, or whether the sex segregation of the labour market is the result of historical, economic or institutional reasons, which ultimately affect both men and women's evasion behaviour.

Cichocki and Tyrowicz (Reference Cichocki and Tyrowicz2010) report on gender differences as part of their investigation into the individual drivers of informal employment in Poland. They use a compilation of two data sets, based on a survey on unregistered employment, conducted by the Centre for Social and Economic Research for the Polish Ministry of Labour and Social Affairs in 2007. The results show that women evade taxes less frequently than men, by engaging less in informal work. When they do engage in informal work, the wage gender differences are not significant. Although the study does not provide an explanation for why women are less involved in informal activities, they do conclude that the engagement in informal work – which is higher among Polish men – is mainly driven by a lack of alternative employment opportunities.

2.3 Education and the shadow economy

Is participation in the shadow economy related to one's education level? Research in transition countries argues that this is likely to be the case. The direction of this effect, however, is under debate. While some say that a higher education level may increase participation because of a lack of alternative employment possibilities and the corresponding financial needs (e.g. Dimova et al., Reference Dimova, Gang and Landon-Lane2005), others emphasize the importance of education in developing civic norms and engagement with society (e.g. Nunn et al., Reference Nunn, Crockett and Williams1978), which in turn may discourage people to participate in non-compliant activities.

Based on the same observational data set as in Gërxhani (Reference Gërxhani2004b), collected in the urban area of Tirana in 2000, Gërxhani and van de Werfhorst (Reference Gërxhani and van de Werfhorst2013) empirically examine: (1) the relationship between individuals' education – while considering other individual, social and institutional factors – and their participation in the shadow economy, and (2) the channels – income-related or civic-norms-related returns of education – through which this relationship is established. The authors create their dependent variable on informal sector participationFootnote 7 by combining information collected about respondents' tax evasion with information about the sector in which they work (i.e. distinguishing between jobs with and without a labour contract). Individuals' education level is the independent variable. After examining whether these two variables are related, the authors test whether the relationship was moderated by individuals' income level and their perceptions of formal and informal institutions.

Their results show that participation in the shadow economy in a transition country like Albania is indeed related to individuals' education level. The more highly educated the individuals, the less likely they are to participate in the shadow economy. However, the financial argument that the more highly educated have more opportunities and higher income and thus they have less reason to engage in the shadow economy, explains little. If anything, education seems to affect people's lower participation in the shadow economy through the encouragement of more civic social norms and higher tax morality. The authors conclude that, nevertheless, more research is needed to understand how education relates to the shadow economy because the channels they investigate do not fully explain the relationship.

Krynska et al. (Reference Krynska, Bednarski, Walewski and Pater2007) use quantitative and qualitative evidence and make two important observations regarding education and informal work in Poland. First, the informal labour market is a segmented market consisting of: (a) an upper tier where highly educated people engage in informal work not out of necessity, as most of them have a job in the formal sector, but rather to evade taxes for financial gains, and (b) a lower tier where people with lower levels of education engage in informal work to make a living because they are not able to find a job in the formal sector. Second, people with higher education engage more in a certain type of informal employment, namely quasi-formal employment,Footnote 8 than those with lower educational levels (Krynska et al., Reference Krynska, Bednarski, Walewski and Pater2007).

In two follow-up studies, Cichocki and Tyrowicz (Reference Cichocki and Tyrowicz2011) and Liwiński (Reference Liwiński2022) use the Polish Labour Force Survey data and find that those working informally are in general less educated than formal workers. Their findings confirm that the Polish informal labour market is a two-tier market, where workers in the lower tier have lower educational attainment, occupy unskilled jobs and earn less than formal workers, whereas workers in the upper tier are better educated, have more skilled jobs and earn similar wages to those working in the formal sector.

2.4 Trust and the shadow economy

Does individuals' involvement in the shadow economy depend on the trust-based exchange with the government and amongst themselves? Take, for instance, tax evasion; standard economic theory would predict that individuals will pay taxes if they are forced to through audit and penalty. Public choice theory, on the other hand, would argue that if people feel that paying taxes is ‘rewarded’ by governmental services, they would evade less (Friedman et al., Reference Friedman, Johnson, Kaufmann and Zoido-Lobaton2000). As such, tax compliance can be regarded as a social contract between citizens and government with the quality of public services being the key factor (Rothstein, Reference Rothstein2005, Reference Rothstein2021; Uslaner, Reference Uslaner, Alm, Martinez-Vazquez and Torgler2010). Yet, free-riding can endanger the exchange between citizens and government, because individuals would rather benefit from public goods without having to pay for them. Free-riding may be mitigated, however, if individuals trust that their government will fulfil its promises and that other individuals will do their share and pay the taxes. Indeed, various studies report a negative relationship between trust and the shadow economy, especially in developing and transition countries. For instance, D'Hernoncourt and Meon (Reference D'Hernoncourt and Meon2012) find that both generalized trust in others and trust in government are negatively associated with the size of the shadow economy; Amini et al. (Reference Amini, Douarin and Hinks2022) observe that trust in state institutions increases people's willingness to report corruption; and Polese et al.'s (Reference Polese, Moisé, Tokyzhanova, Aguzzi, Kerikmäe, Sagynbaeva, Sauka and Seliverstova2022) study of managers in Kyrgyzstan in 2017–2018 confirms that bureaucracy, corruption and a lack of trust in state support and institutions increase participation in the shadow economy. This alternative perspective relates to the concept of a psychological contract (Feld and Frey, Reference Feld and Frey2002) between the taxpayer and the government. The basic idea behind such a contract is that a mutual exchange requires that tax authorities act respectfully towards taxpayers, which in turn may lead to more trust and compliance from the citizens. In fact, Easter (Reference Easter2002) reports that this is what happened in Poland in the early 1990s, when the government earned the trust of its citizens by being honest.

An extensive literature on tax moraleFootnote 9 has emphasized the importance of trust in formal institutions with regard to tax morale (e.g. Alm and Torgler, Reference Alm and Torgler2006) and especially so in developing countries (e.g. Torgler, Reference Torgler2005). In line with this literature, Gërxhani and Wintrobe (Reference Gërxhani, Wintrobe, Douarin and Havrylyshyn2021) try to establish a link between new institutionalism and the emergence of a mutual exchange between the taxpayer and the government. Under the assumption that informal institutions, as captured in trust, determine the extent of tax compliance, they first develop a theoretical model that combines the public choice approach with the new institutionalist perspective. Then they empirically test the model's prediction that an individual will pay taxes conditional on believing that their government will provide the services promised and that other individuals will pay taxes as well (i.e. trust-based exchange). The empirical test is based on the observational data collected in 2000 in Tirana, the capital of Albania (see Gërxhani, Reference Gërxhani2004b). Aside from a measure of tax evasion, the data contain information on individuals' perceptions of their government (e.g. related to corruption or the overall support it deserves) and the compliance level of their fellow citizens.

Their results support the model's prediction by showing that the more individuals trust the government and believe that others pay taxes, the more they are inclined to pay taxes themselves. These results remain strong after controlling for various socio-demographic characteristics. Education, however, somewhat mitigates the relationship between trust in the government and tax evasion because being highly educated is positively correlated with more trust in the government. This finding relates to the earlier study by Gërxhani and van de Werfhorst (Reference Gërxhani and van de Werfhorst2013) on the relationship between education and participation in the shadow economy and supports the suggestion of promoting more (civic-oriented) educational training if more compliance and a smaller shadow economy is desired.

2.5 Opportunities to evade and the shadow economy in a comparative setting

If both formal and informal institutions matter for individuals' participation in the shadow economy, an interesting question relates to the relative importance of the two. This question is difficult to answer with observational data because they typically occur in combination, making it challenging to isolate the causal effect of either type of institution in itself. To address such a challenge, Gërxhani and Schram (Reference Gërxhani and Schram2006) conduct a comparative experimental study of tax evasion in Albania and the Netherlands. The motivation for comparing a transition country with a developed nation is twofold: (1) the magnitude of the shadow economy is estimated to be much larger in Albania than in the Netherlands (roughly 40–50% and 10–20%, respectively), and (2) their institutional setting is also very different, with the Netherlands having a long-standing tradition of well-functioning formal institutions. The authors argue that in line with the new institutionalist approach, it may seem straightforward to conclude that the smaller shadow economy in the Netherlands may be because of its well-functioning formal institutions. Yet, because informal institutions may be equally important, it may also be the case that the Dutch have a higher tax morale than the Albanians.

To disentangle the effects of formal from informal institutions, Gërxhani and Schram (Reference Gërxhani and Schram2006) conduct a controlled experiment, in each country, that implements exactly the same rules (formal institutions) under which the participants' tax evasion behaviour is observed. The rationale behind this design is that if the Dutch and the Albanians show differences in their tax evasion behaviour, the authors can then confidently say that these differences are not driven by formal institutions. Aside from a cross-country comparison, the experiments also test whether the decision to evade taxes differs across socio-economic groups within each country. Importantly, the experimental design systematically varies the opportunity to evade taxes and the audit probabilities, while also including a measure of individuals' risk attitudes.

More specifically, the experiments in both countries took place in 1999–2000 with high school pupils, university students, high school teachers, university non-academic personnel, and university teachers, in Albania and in the Netherlands. Before deciding to evade taxes or not, each participant chooses between two types of income, knowing that one type gives an opportunity to evade while the other does not. After this choice, an income of that type is randomly determined and privately made known to the individual. Subsequently, participants report an income to be taxed, whereby those with an ‘evadable’ income type can report less than their actual income. Their reported income can be audited, which happens with a probability of either 1:2 or 1:6 (depending on the treatment). Those caught evading taxes are fined. In most sessions, tax proceeds are redistributed to the participants as a public good. For comparison, some subject pools participate in additional sessions where there is no such redistribution.

The main findings of the study are that Dutch participants evade taxes more than Albanian participants. Across the different socio-economic groups, pupils and students in each country evade taxes the most. This is an indication that within-country differences in tax evasion behaviour are as relevant as cross-country differences. As expected, when given a choice, participants who are more inclined to evade taxes prefer labour market conditions (i.e. an income type) that allow for more opportunities to do so. Interestingly, Albanians' tax evasion behaviour is not affected by the chances of being caught, while the Dutch evade taxes more when the probability of being audited is lower. In fact, not only do Albanians have an overall higher compliance rate, but they even over-report (i.e. pay more taxes than required) more frequently than the Dutch. However, this distinct behaviour of Albanian participants is observed much less frequently in the sessions without the redistribution of the tax proceeds.

The authors conclude that contrary to what the aggregate data show about the shadow economies in Albania and the Netherlands, the opposite is observed when holding formal institutions constant: Dutch participants evade taxes more than Albanian participants. They argue that the experimental difference cannot be attributed to formal institutional differences, because the experimental formal institutions are the same in both countries. The question, then, is how much can be attributed to differences in social norms that are internalized in participants' behaviour in the experiment? Because Gërxhani and Schram (Reference Gërxhani and Schram2006) do not investigate the direct effect of norms, one can only speculate based on their findings that Albanians evade less, that their compliance does not depend on audit probabilities, and that they over-report more frequently than the Dutch. All of these differences are especially pronounced when tax proceeds are redistributed amongst the participants. Because informal institutions like norms take time to change, it is likely that the legacy of past communist norms of common property and sharing with others are still ingrained in Albanians' behaviour of contributing to an experimentally well-functioning and enforced collective good. Conditional on the latter, it is possible that this willingness to contribute provides an explanation for all the experimental differences that are observed between the two countries. The within-country differences where the younger generation (i.e. pupils and students) evades more than the rest, reinforces this proposition.

Yet, there are possible alternative interpretations of the findings obtained by Gërxhani and Schram (Reference Gërxhani and Schram2006). First, the perceived probability of being audited could differ among the Albanians and the Dutch. It is possible that it is the perception and not the probability of being audited per se that have led to different compliance rates in the two countries (Bergolo et al., Reference Bergolo, Ceni, Cruces, Giaccobasso and Perez-Truglia2017; Mascagni, Reference Mascagni2018). Second, reputation, social stigma and public shame may also play a role in explaining the differences. Coricelli et al. (Reference Coricelli, Joffily, Montmarquette and Villeval2010) and Coricelli et al. (Reference Coricelli, Rusconi and Villeval2014) show that tax compliance may be driven by the willingness to avoid negative emotions raised by potential detection and public denouncement. Also Alm et al. (Reference Alm, Bernasconi, Laury, Lee and Wallace2017) find that public shame seems to be a powerful driver of tax compliance. Finally, social pressure can be another explanatory factor. As documented by Battiston and Gamba (Reference Battiston and Gamba2016), direct peer pressure can lead to a rise in tax compliance.

3. Effects of participation in the shadow economy

3.1 The shadow economy and well-being in Albania

How does participating in the shadow economy relate to individuals' economic well-being, and what explains it? Compared to working in the formal sector, research shows that participation in the shadow economy offers the obvious advantage of not having to pay taxes, of often facing fewer (bureaucratic) barriers to entry and of having more flexibility and creativity. Instead of ‘doing their business’ in the official economy, individuals move into the shadow economy where they do not have to interact with state institutions and do not have to comply with burdensome regulations. This is known as the ‘exit’ perspective (e.g. Maloney, Reference Maloney2004; Perry et al., Reference Perry, Maloney, Arias, Fajnzylber, Mason and Saavedra-Chanduvi2007; Williams, Reference Williams2010a). On the other hand, those involved in the shadow economy have, on average, lower earnings than those working in the formal sector, typically face poorer working conditions and higher job insecurity, and are excluded from social benefits because of working without a labour contract. Such kind of employment is ‘sought’ by those who cannot find any other possibility of employment – be it because of their education, qualifications, experience or lack of opportunities. Because formal employment is unattainable for them (Williams, Reference Williams2010a), they face the choice of being either inactive or unemployed, or of trying to survive by engaging in the informal sector. The latter situation as a survival tactic and a substitute for formal work is known as the ‘exclusion’ perspective (Banerjee, Reference Banerjee and Safa1982; Perry et al., Reference Perry, Maloney, Arias, Fajnzylber, Mason and Saavedra-Chanduvi2007; Williams, Reference Williams2010a).

Various studies have suggested that the exclusion perspective is more relevant in transition countries (e.g. Williams, Reference Williams2014). With an economic crisis and high unemployment rates in the post-socialist period, there were limited formal sector jobs available and, moreover, there was only meagre, if any, financial support by the welfare system. This suggests that involvement in the shadow economy in transition countries may not be a voluntary choice but more of a survival mechanism as a result of being ‘excluded’ from formalized employment alternatives and their benefits (e.g. Gërxhani, Reference Gërxhani2004a; Schneider and Enste, Reference Schneider and Enste2000).

Against this background, Ferrer-i-Carbonell and Gërxhani (Reference Ferrer-i-Carbonell and Gërxhani2011) tries to empirically investigate how participating in the shadow economy of a transition country relates to individuals' economic well-being. The authors focus on a broader concept of economic welfare, which is captured by individuals' own evaluation of their financial situation. In light of the (dis)advantages of participating in the shadow economy, the authors argue that when studying the effects of such participation, one should consider a concept of welfare that measures more than just income. For instance, individuals involved in the shadow economy may feel less satisfied with their financial situation (even if they earn a decent income) because of financial uncertainty, social insecurity or having been given a bad reputation and low status. Because individuals are best to judge their own financial situation, the authors apply a subjective method and ask: ‘How satisfied are you with the financial situation of your household?’, which gives them an indication of a respondent's perceived economic situation and thus their subjective well-being. This method, eliciting scores on a scale from ‘0 = not at all satisfied’ to ‘10 = very satisfied’ is frequently used in the well-being literature to measure individuals' financial satisfaction (e.g. van Praag and Ferrer-i-Carbonell, Reference van Praag and Ferrer-i-Carbonell2004).

Ferrer-i-Carbonell and Gërxhani (Reference Ferrer-i-Carbonell and Gërxhani2011) argue that if the disadvantages are perceived to outweigh the advantages, one could expect individuals involved in the shadow economy to feel less satisfied with their financial situation than individuals in the formal sector. This effect may be especially strong in transition countries where participation in the shadow economy is more likely a survival mechanism due to the lack of formalized alternatives. Moreover, the authors expect differences among individuals participating in the shadow economy according to their social norms, because individuals' satisfaction with their financial situation may depend not only on their economic state but also on their social context. Since paying taxes or not has important consequences for the own and public finances, the authors consider two dimensions of tax morale. The first relates to how individuals perceive the financial consequences of (not) paying taxes and the second dimension refers to beliefs about contributing to public goods by paying taxes. These dimensions are expected to moderate the relationship between individuals' participation in the shadow economy and their financial satisfaction.

To test these propositions, Ferrer-i-Carbonell and Gërxhani (Reference Ferrer-i-Carbonell and Gërxhani2011) use the observational data collected in Tirana, Albania (see section 2.1), which include information on individuals' financial satisfaction (average: 3.37 out of 10), their informal sector participation (as defined in section 2.3), their household monthly income and taxes, their tax morale (based on their attitudes towards two statements related to paying taxes) and a set of controls on their socio-economic and demographic attributes such as age, education, gender, etc.

The results indicate that on top of the differential income effect, most individuals who work in the informal sector are less satisfied with their financial situation than those with formal employment. There is, however, a small group of individuals who appear to be more satisfied with being involved in the informal rather than the formal sector. The main characteristic of this group is a low tax morale; that is, they do not perceive severe financial consequences in the future of not paying taxes today. It is possible that these respondents are less risk-averse than others or have economic buffers that allow them to worry less about social insecurity or financial uncertainty than others do. The majority of respondents, however, do seem to share concerns about future financial insecurities and are thus less satisfied with working in the informal sector and not paying taxes. The authors argue that this was perhaps to be expected in a transition country like Albania, where a lack of formal employment possibilities and trivial social support may ‘force’ many people to engage in the shadow economy while not being happy about this ‘choice’.

However, some studies point out that neither the ‘exit’ nor the ‘exclusion’ perspectives can sufficiently explain informal work participation, because there is considerable heterogeneity regarding types of informal work, which also ‘mingle’ with formal work (Bargain and Kwenda, Reference Bargain and Kwenda2014; Fields, Reference Fields2005; Gunther and Launov, Reference Gunther and Launov2012). This can lead to the emergence of different types of hybrid work and a ‘blurring’ of borderlines between formal and informal employment (Williams, Reference Williams2010b). Hence, these studies propose that a combination of both perspectives may apply: informal work is for some people an attractive employment opportunity whereas for others it is the only possibility of employment. Indeed, empirical studies show that informal labour markets are divided into two parts: (a) an upper tier, which represents the competitive part of the informal sector and where wages are comparable to those in the formal sector, or (b) a lower tier, dominated by those for whom formal employment is unattainable and where a significant wage penalty is present (Bargain and Kwenda, Reference Bargain and Kwenda2014; Gunther and Launov, Reference Gunther and Launov2012). Such a two-tier structure has been confirmed by Liwiński (Reference Liwiński2022) in the case of Poland: informal workers in the first quartile of the wage distribution and those above the first quartile are in two partially different segments of the informal labour market. The former have substantially lower monthly earnings than formal workers, while the latter have the same monthly earnings as formal workers.

3.2 The shadow economy and well-being in 14 transition countries

The above discussion raises an important question. The study by Ferrer-i-Carbonell and Gërxhani (Reference Ferrer-i-Carbonell and Gërxhani2011) suggests that their findings on the relationship between participation in the shadow economy and individuals' welfare may indicate that the exclusion perspective is more relevant than the exit perspective in transition countries. On the other hand, other studies on transition countries argue that both perspectives may be relevant. The question thus is whether the negative well-being effect observed in one country holds for a broader set of transition countries. To address this question, Ferrer-i-Carbonell and Gërxhani (Reference Ferrer-i-Carbonell and Gërxhani2016) conduct a similar follow-up study based on data from 14 transition countries. Given the moderating effect of tax morale in their study on Albania, the authors examine the role of the social and institutional context in shaping the relationship between tax evasion and well-being. In doing so, they focus on a richer set of factors, including tax-related formal and informal institutions as well as formal and informal types of social capital.

Their rationale for considering tax-related formal institutions is based on the finding that in transition countries tax evasion is positively related to ineffective formal institutions because the latter lead to a decline in civic virtue and in loyalty towards public institutions (e.g. Schneider and Enste, Reference Schneider and Enste2000; Torgler, Reference Torgler2012). Thus, for those individuals who think that formal institutions do not do a good job, the authors argue that the negative relationship between evading taxes and well-being will be weaker. As for the moderating role of informal institutions, they expect that because individuals with positive tax-related social norms are generally happy (Lubian and Zarri, Reference Lubian and Zarri2011) and are less likely to evade taxes (e.g. Cummings et al., Reference Cummings, Martinez-Vazquez, McKee and Torgler2009; Torgler, Reference Torgler2003), they will experience a stronger negative relationship between tax evasion and well-being.

When looking at the role of social capital, Ferrer-i-Carbonell and Gërxhani (Reference Ferrer-i-Carbonell and Gërxhani2016) argue that the more formalized types of participating in associations (e.g. membership, volunteering or donating; Putnam, Reference Putnam1993) contribute to a sense of civic responsibility towards the society. In turn, this civic responsibility is predicted to decrease non-compliance behaviour (Letki, Reference Letki2006; Orviska and Hudson, Reference Orviska and Hudson2002). They do, however, make a distinction between Putnamesque and Olsonian associations. The former promote common goals without imposing negative externalities on the rest of society, while such externalities do occur more often with the latter (Fidrmuc and Gërxhani, Reference Fidrmuc and Gërxhani2008; Knack and Keefer, Reference Knack and Keefer1997). Thus, the authors expect that those participating in Putnamesque associations care more about their civic duty and will therefore experience a stronger negative relationship between evading and well-being. In contrast, those participating in Olsonian ‘rent-seeking’ associations will be less concerned with their civic responsibility and thus experience a weaker negative relationship – that is, they will feel less dissatisfied with evading taxes.

Finally, they also consider the role of social capital in its more informal form through networks of family and friends. Rose (Reference Rose, Dasgupta and Serageldin2000) finds a positive relationship between such networks and underground activities in Russia. He explains this by the malfunctioning of formal institutions, which ‘forces’ people to fall back on their networks and bypass the state. The authors thus argue that having networks of family and friends may moderate the negative relationship between evading taxes and well-being. This moderating effect, however, may depend on the willingness of network members to pay taxes and the degree to which they put social pressure on others to comply with their tax-related social norms. Based on this reasoning, the authors predict that having networks of friends and family with high (low) tax morale would strengthen (weaken) the negative relationship between evading and well-being.

Ferrer-i-Carbonell and Gërxhani (Reference Ferrer-i-Carbonell and Gërxhani2016) test these hypotheses by using observational data collected as part of the ‘Public Goods through Private Eyes’ survey, carried out in 2013 and 2014 by the University of Warsaw (Letki, Reference Letki2015). The response rate in most countries is around 45–50%. The objective of the survey is to collect cross-country data on the determinants of public attitudes and behaviour towards public goods in the context of post-communist Central and Eastern Europe. The fieldwork is carried out in 14 countries.Footnote 10 The final sample consists of more than 22,000 observations and each country has at least 1,400 observations.

The dependent variable measuring subjective well-being is obtained by asking people about their individual life satisfaction, i.e. ‘All things considered, how satisfied are you with your life as a whole nowadays?’. Similarly to the financial satisfaction question used in the survey in Albania (cf. section 3.1), the answers are given on a scale from ‘0 = completely dissatisfied’ to ‘10 = completely satisfied’. The independent variable measuring tax evasion is obtained by asking respondents whether they have ever worked for cash in hand and not paid tax on the income. The institutional moderating variables are measured through people's attitudes on a number of statements. Specifically, individuals' perception of tax-related formal institutions is captured by ‘individuals' positive perception of formal institutions’ and ‘individuals reporting underprovision of public services by the state’, while tax-related informal institutions are captured by ‘individuals' high tax morale’. The formal type of social capital is measured through ‘individuals' participation in civic associations via financial donations’ (Putnamesque type) and ‘individuals' participation in rent-seeking associations via financial donations’ (Olsonian type). Finally, the informal type of social capital is captured by the ‘frequency individuals meet with people (family, friends, colleagues, neighbours)’.

Similarly to the Albanian case (section 3.1.), their results show a strong negative relationship between tax evasion and life satisfaction. As predicted, this relationship varies depending on the social and institutional context individuals are embedded in. The conclusions from their regression results are summarized in Table 2. When considering the role of formal and informal institutions, only negative experiences with tax-related formal institutions (i.e. underprovision of public services) have a significant effect; that is, such negative experiences weaken the negative relationship between tax evasion and life satisfaction. This is in line with findings from other key studies on happiness in transition countries, which conclude that people in these countries suffer from a ‘happiness gap’ because of the deterioration of public goods (Guriev and Zhuravskaya, Reference Guriev and Zhuravskaya2009), the malfunctioning of formal institutions (Nikolova, Reference Nikolova2016), higher perceived corruption and weaker government performance (Djankov et al., Reference Djankov, Nikolova and Zilinsky2016), among other factors. As for social capital, the authors observe that only the formalized type of participating in both types of formal associations has a significant effect. That is, individuals supporting civic associations feel a stronger negative relationship between evading taxes and their life satisfaction, while for those supporting ‘rent-seeking’ associations the negative relationship becomes weaker.

Table 2. Moderating effects of social and institutional context on the relationship between tax evasion and life satisfaction

In an explorative analysis, Ferrer-i-Carbonell and Gërxhani (Reference Ferrer-i-Carbonell and Gërxhani2016) run the same (regression) analysis separately for those who had had working experience during the communist period (45 years or older in 2013–2014) and those who had not (younger than 45 years old in 2013–2014). The idea underlying this exercise is to explore the effects of having internalized social norms and experiences from the communist past, which they argue is only to be expected in the 45+ group. The results show that both generations experience a weaker negative relationship between tax evasion and satisfaction when they believe the government is underproviding public services. However, the two generations differ in how their social capital affects them. While the younger generation is more engaged with associations and experiences a stronger (weaker) negative relationship when participating in civic (rent-seeking) associations, the older generation is more dissatisfied with evading taxes the more frequently they meet with their family and friends.

The authors conclude that, generally speaking, individuals participating in the shadow economy in transition countries are not happy with evading taxes. Thus, the negative well-being effect observed in one country seems to hold for a broader set of transition countries, which again hints at the exclusion perspective being more relevant in these countries. This depends, however, on the social and institutional context one lives in. ‘While for some individuals tax evasion is not negatively associated with life satisfaction, the way they experience various social and institutional factors turns this relationship into negative. This implies that if these individuals had a choice, they would rather enter a formalized labor market’ (Ferrer-i-Carbonell and Gërxhani, Reference Ferrer-i-Carbonell and Gërxhani2016: 157–158). The moderating effect of the current context and past legacy is especially noticeable when examining the relationship between tax evasion and individual life satisfaction across generations. While the tax-related behaviour of the older generation seems to be more affected by the past through social networks one is embedded in, that of the younger generation is more linked to their association engagement during the transition period.

4. Conclusion

The research summarized in this paper shows that the shadow economy in transition countries remains a challenge not only due to its large magnitude and the implications for state budget deficits, but especially due to its ‘survival’ or ‘mingled’ nature and the implications thereof for individuals' well-being and for their exchange with formal institutions, civil society and social norms.

The complementarity of the distinct research designs applied in the studies overviewed enables a good balance between the internal and external validity of their empirical findings. For instance, in the study where formal institutions and their enforcement were held experimentally constant across countries, Albanians evade taxes less than the Dutch. Yet, field evidence points to the contrary: the Albanian shadow economy is larger than the Dutch shadow economy. This means that while in the field one cannot distinguish whether this outcome is due to formal or informal institutions, the controlled experimental setting allowed the authors to observe that the Albanians evade taxes less often when formal institutions function properly and are enforced. By implication, one possible interpretation of this result is that Albanians may not have a low willingness to pay taxes (i.e. informal institutions). The control ensured in an experimental setting enables a better understanding and interpretation of the field evidence, which is why in our view more experimental research is needed to complement observational evidence on shadow economies.

The fact that the field evidence tells a different story than what was observed in the lab-in-the field experiment is thus less likely related to informal institutions like low tax morale and more likely related to the malfunctioning of formal institutions, their poor enforcement or their interaction with informal institutions. The observational data in Albania confirm this claim because when individuals' perceptions of formal institutions clash with their informal institutions, individuals are more involved in the shadow economy. Instead, when people have a trustworthy relationship with the government and other individuals, they are more inclined to pay taxes. The importance of their social and institutional context also appears in how individuals' involvement in the shadow economy relates to their subjective well-being. When they do not believe the government is sufficiently providing public services or when they do not foresee any financial insecurity in the future from not paying taxes today, they are happy to evade taxes. The majority, however, are unhappy to be ‘stuck’ in the shadow economy and having to evade, and this unhappiness becomes stronger the more they are concerned about being excluded from social benefits or the more they are civically engaged and would rather contribute to the collective good.

This research was theoretically inspired by the new institutional perspective that a proper functioning of the economy needs the formal and informal institutions to be complementary and well enforced. Its main contributions are in empirically showing that: (1) focusing on formal institutions alone, that is strengthening the rule of law, is a necessary but insufficient response to the shadow economy; (2) taking account of informal institutions, such as individuals' tax morale or their trust in government and in other citizens' civic morality, is as necessary; and (3) most importantly, formal and informal institutions go hand in hand, and as such, their interaction ought to be an essential part of the new institutional perspective. In fact, we propose that the research looking at different facets of ‘culture’ and ‘rule of law’ can be understood within the new institutional framework and its relationship with economic development, engagement in informal activities and overall lower economic welfare.

Although the focus of this paper has been on transition countries in general, and Albania in particular as an ideal context of institutional analysis, the above contributions are globally relevant. As various studies show, the relationship between culture and institutions is also very important for the economic progress of developed countries. Yet, the jury is not yet out on whether institutions affect culture or vice versa. For example, Letki (Reference Letki2006: 321) proposes a ‘top-down mechanism, where institutional quality is enhanced and political confidence is stimulated, and in turn they generate respect for norms and rules and positive attitudes to compliance’. Tabellini's (Reference Tabellini2010) findings also indicate a positive effect of institutions on economic performance through culture. Gorodnichenko and Roland (Reference Gorodnichenko and Roland2017), on the other hand, conclude that because culture changes more slowly, it can have an important influence on formal institutions, which in turn contribute to economic development.

This debate is, however, crucial for transition economies, which have undergone major (formal) institutional reforms. These institutions were often transplanted from established and well-functioning democracies to radically different cultural contexts. In light of the importance of the two-way interaction between culture and institutions in economic development in general, and of the importance of the two-way interaction between formal and informal institutions in the shadow economy in particular, we are now better able to understand what went wrong in transition economies and what can be done in the future.

First, the implementation of formal institutional reforms should go hand in hand with ways to align them with the cultural context. A recent study by Kaasa and Andriani (Reference Kaasa and Andriani2022) shows that people have more trust in formal institutions the more they live in civically engaging communities. This is in line with some of the findings reported in this paper, where there seems to be a generational shift in the importance of the social and institutional context when judging whether being involved in the shadow economy increases one's satisfaction. While the older generation is still affected by the legacy of social norms during communism, the younger generation cares more about participating in associations and experiences a stronger negative relationship between tax evasion and happiness when participating in civic associations. Thus, alongside the strengthening of formal institutions, governments and civil societies in transition countries should also try to encourage people's civic responsibility and create opportunities for participation and engagement. The latter should also promote a more trust-based exchange between the government and its citizens, which may be a better response to engagement in informal activities than more coercive enforcement through audit and punishment.

Second, to encourage people's civic responsibility and engagement in civic associations, which seems to be more prominent among young people, a special role can be dedicated to the promotion of more civic-oriented educational training. In line with Letki's (Reference Letki2006) finding that education positively affects one's civic morality, the research presented here shows that higher education is positively related to more trust in government, but also to less involvement in the shadow economy.

Footnotes

1 In this paper we use the following definition of the shadow economy: ‘all legal production activities that are deliberately concealed from public authorities for the following kinds of reasons: to avoid payment of income, value added or other taxes; to avoid payment of social security contributions; to avoid having to meet certain legal standards such as minimum wages, maximum hours, safety or health standards, etc; to avoid complying with certain administrative procedures, such as completing statistical questionnaires or other administrative forms’ (OECD, 2002: 139).

2 As reported in Gërxhani and Wintrobe (Reference Gërxhani, Wintrobe, Douarin and Havrylyshyn2021), based on own calculations from Medina and Schneider (Reference Medina and Schneider2018, Table 18) the average size of the shadow economy over the period 1991–2015 was 16.1% of GDP in the early EU member states, 26.0% in Central and Eastern Europe, 45.1% in the former Soviet Union, and 23.7% in the Baltic States.

3 This high response rate can mainly be attributed to the following features of the survey: (a) the written questionnaires were dropped off (and picked up at an agreed point in time) by individuals who were known and trusted in the appointed regions; (b) anonymity was stressed and assured; (c) the sample selection was based on a random geographical design; (d) the sensitive information on tax evasion was collected by using various indirect questions to create multiple-item measures of tax evasion.

4 Note that this same data set is also used by the studies reported in each of the sections 2.1–2.4, and in 3.1.

5 Significance is at the 5% level for personal tax and at the 10% level for business tax.

6 The concept ‘tax morale’ refers to ‘the intrinsic motivation to pay taxes arising from the moral obligation to pay taxes as a contribution to society’ (Cummings et al., Reference Cummings, Martinez-Vazquez, McKee and Torgler2009: 448).

7 ‘.. sale of goods and services that are licit in every sense other than that they are unregistered by, or hidden from, the state for tax, benefit and/or labor law purposes’ (Williams and Round, Reference Williams and Round2009: 78).

8 Quasi-formal employment (also called wage under-reporting) involves an oral agreement between an employer and their formally registered employee about dividing the total remuneration for the given job into two parts: an officially declared wage and a supplementary (untaxed) cash payment, which is commonly referred to as an ‘envelope wage’ (Williams and Horodnic, Reference Williams and Horodnic2016).

9 For an extensive overview on tax morale, see Luttmer and Singhal (Reference Luttmer and Singhal2014).

10 These are Bulgaria, Croatia, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, Serbia, Slovakia, Slovenia and Ukraine.

References

Alm, G., Bernasconi, M., Laury, S., Lee, D. and Wallace, S. (2017), ‘Culture, Compliance and Confidentiality: Taxpayers Behavior in the United States and Italy’, Journal of Economic Behavior and Organization, 140(C): 176196.CrossRefGoogle Scholar
Alm, J. and Torgler, B. (2006), ‘Culture Differences and Tax Morale in the United States and in Europe’, Journal of Economic Psychology, 27(2): 224246.CrossRefGoogle Scholar
Amini, C., Douarin, E. and Hinks, T. (2022), ‘Individualism and Attitudes towards Reporting Corruption: Evidence from Post-Communist Economies’, Journal of Institutional Economics, 18: 85100.CrossRefGoogle Scholar
Andriani, L., Bruno, R., Douarin, E. and Stepien-Baig, P. (2022), ‘Is Tax Morale Culturally Driven?’, Journal of Institutional Economics, 18: 6784.CrossRefGoogle Scholar
Banerjee, N. (1982), ‘Survival of the poor’, in Safa, H. I. (ed.), Towards a Political Economy of Urbanization in Third World Countries, Delhi, Bombay, Calcutta, Madras: Oxford University Press, pp. 175188.Google Scholar
Bargain, O. and Kwenda, P. (2014), ‘The Informal Sector Wage Gap: New Evidence Using Quantile Estimations on Panel Data’, Economic Development and Cultural Change, 63(1): 117153.CrossRefGoogle Scholar
Battiston, P. and Gamba, S. (2016), ‘The Impact of Social Pressure on Tax Compliance: A Field Experiment’, International Review of Law and Economics, 46: 7885.CrossRefGoogle Scholar
Beck, T. and Laeven, L. (2006), ‘Institution Building and Growth in Transition Economies’, Journal of Economic Growth, 11: 157186.CrossRefGoogle Scholar
Bergolo, M., Ceni, R., Cruces, G., Giaccobasso, M. and Perez-Truglia, R. (2017), Tax Audits as Scarecrows: Evidence from a Large-Scale Field Experiment. NBER Working Paper 23631.CrossRefGoogle Scholar
Calcagno, P. and Lopez, E. (2017), ‘Informal Norms Trump Formal Constraints: The Evolution of Fiscal Policy Institutions in the United States’, Journal of Institutional Economics, 13(1): 211242.CrossRefGoogle Scholar
Campos, N. F. and Coricelli, F. (2002), ‘Growth in Transition: What We Know, What We Don't, and What We Should’, Journal of Economic Literature, 40(3): 793836.CrossRefGoogle Scholar
Cichocki, S. and Tyrowicz, J. (2010), ‘Shadow Employment in Post-Transition: Is Informal Employment a Matter of Choice or No Choice in Poland?’, Journal of Socio-Economics, 39(4): 527535.CrossRefGoogle Scholar
Cichocki, S. and Tyrowicz, J. (2011), ‘Determinanty Zatrudnienia Nierejestrowanego w Polsce w Okresach Wysokiej i Niskiej Koniunktury Gospodarczej [Determinants of Undeclared Employment in Poland in Periods of High and Low Economic Prosperity]’, Gospodarka Narodowa, 3/2011: 127.CrossRefGoogle Scholar
Coricelli, G., Rusconi, E. and Villeval, M. C. (2014), ‘Tax Evasion and Emotions: An Empirical Test of Re-Integrative Shaming Theory’, Journal of Economic Psychology, 40: 4961.CrossRefGoogle Scholar
Coricelli, G., Joffily, M., Montmarquette, C. and Villeval, M. C. (2010), ‘Cheating, Emotions, and Rationality: An Experiment on Tax Evasion’, Journal of Experimental Economics, 13: 226247.CrossRefGoogle Scholar
Cummings, R., Martinez-Vazquez, J., McKee, M. and Torgler, B. (2009), ‘Effects of Tax Morale on Tax Compliance: Experimental and Survey Evidence’, Journal of Economic Behavior and Organization, 70(3): 447457.CrossRefGoogle Scholar
D'Hernoncourt, J. and Meon, P.-G. (2012), ‘The Not So Dark Side of Trust: Does Trust Increase the Size of the Shadow Economy?’, Journal of Economic Behavior and Organization, 81(1): 97121.CrossRefGoogle Scholar
Dimova, R., Gang, I. N. and Landon-Lane, J. (2005), The Informal Sector during Crisis and Transition. EGDI and UNU-WIDER Research Paper No. 2005/ 18. Helsinki: EGDI and UNU-WIDER.Google Scholar
Djankov, S., Nikolova, E. and Zilinsky, J. (2016), ‘The Happiness Gap in Eastern Europe’, Journal of Comparative Economics, 44(1): 108124.Google Scholar
Doerrenberg, P. and Peichl, A. (2022), ‘Tax Morale and the Role of Social Norms and Reciprocity: Evidence from a Randomized Survey Experiment’, FinanzArchiv, 78(1–2): 4486.CrossRefGoogle Scholar
Easter, G. M. (2002), ‘The Politics of Revenue Extraction in Post-Communist States: Poland and Russia Compared’, Politics and Society, 30(4): 599627.CrossRefGoogle Scholar
Eilat, Y. and Zinnes, C. (2002), ‘The Shadow Economy in Transition Countries’, World Development, 30(7): 12331254.CrossRefGoogle Scholar
Feige, E. L. (1997), ‘Underground Activity and Institutional Change: Productive, Protective and Predatory Behavior in Transition Economies’, in Nelson, J. M., Tilley, C. and Walker, L. (eds.), Transforming Post-Communist Political Economies, Washington, DC: National Academy Press, pp. 2135.Google Scholar
Feld, L. P. and Frey, B. S. (2002), ‘Trust Breeds Trust: How Taxpayers are Treated’, Economics of Governance, 3: 8799.CrossRefGoogle Scholar
Ferrer-i-Carbonell, A. and Gërxhani, K. (2011), ‘Financial Satisfaction and (in)Formal Sector in a Transition Country’, Social Indicators Research, 102(2): 315331.CrossRefGoogle Scholar
Ferrer-i-Carbonell, A. and Gërxhani, K. (2016), ‘Tax Evasion and Well-Being: A Study of the Social and Institutional Context in Central and Eastern Europe’, European Journal of Political Economy, 45: 149159.CrossRefGoogle Scholar
Fidrmuc, J. and Gërxhani, K. (2008), ‘Mind the Gap: Social Capital, East and West!’, Journal of Comparative Economics, 36(2): 264286.CrossRefGoogle Scholar
Fields, G. (2005), A Guide to Multisector Labor Market Models. World Bank Social Protection Discussion Paper No. 0505.Google Scholar
Flathmann, J. and Sheffrin, S. (2003), Are Surveys of Taxpayers’ Honesty Honest?, Prague: International Institute of Public Finance Congress Proceedings.Google Scholar
Franic, J. (2020), ‘Dissecting the Illicit Practice of Wage Underreporting: Some Evidence from Croatia’, Economic Research-Ekonomska Istrazivanja, 33(1): 957973.CrossRefGoogle Scholar
Franic, J. and Cichocki, S. (2022), ‘Envelope Wages as a New Normal? An Insight into a Pool of Prospective Quasi-Formal Workers in the European Union (EU)’, Employee Relations, 44(1): 3753.CrossRefGoogle Scholar
Friedman, E., Johnson, S., Kaufmann, D. and Zoido-Lobaton, P. (2000), ‘Dodging the Grabbing Hand: The Determinants of Unofficial Activity in 69 Countries’, Journal of Public Economics, 76(3): 459493.Google Scholar
Gërxhani, K. (2004a), ‘The Informal Sector in Developed and Less Developed Countries: A Literature Survey’, Public Choice, 120(3–4): 267300.CrossRefGoogle Scholar
Gërxhani, K. (2004b), ‘Tax Evasion in Transition: Outcome of an Institutional Clash? Testing Feige's Conjecture in Albania’, European Economic Review, 48(4): 729745.CrossRefGoogle Scholar
Gërxhani, K. (2007a), ‘“Did You Pay Your Taxes?” How (Not) to Conduct Tax Evasion Surveys in Transition Countries’, Social Indicators Research, 80(3): 555581.CrossRefGoogle Scholar
Gërxhani, K. (2007b), ‘Explaining Gender Differences in Tax Evasion: The Case of Tirana, Albania’, Feminist Economics, 13(2): 119155.CrossRefGoogle Scholar
Gërxhani, K. (2009), ‘Politico-economic Institutions and the Informal Sector in Albania’, in Bezemer, D. J. (Ed.), On Eagle's Wings. Ten Years of Market Reform in Albania, New York: NovaScience Publishers, pp. 8195.Google Scholar
Gërxhani, K. and Schram, A. (2006), ‘Tax Evasion and Income Source: A Comparative Experimental Study’, Journal of Economic Psychology, 27(3): 402422.CrossRefGoogle Scholar
Gërxhani, K. and van de Werfhorst, H. (2013), ‘The Effect of Education on Informal Sector Participation in a Post-Communist Country’, European Sociological Review, 29(3): 464476.CrossRefGoogle Scholar
Gërxhani, K. and Wintrobe, R. (2021), ‘Understanding Tax Evasion: Combining the Public Choice and New Institutionalist Perspectives’, in Douarin, E. and Havrylyshyn, O. (eds.), Handbook of Comparative Economics, Cham: Palgrave MacMillan, pp. 785810.Google Scholar
Giese, S. and Hoffman, A. (1999), Tax Evasion and Risky Investments in an Intertemporal Context: An Experimental Study. Discussion Paper 153, Berlin: Humboldt University.Google Scholar
Gorodnichenko, Y. and Roland, G. (2017), ‘Culture Institutions and the Wealth of Nations’, The Review of Economics and Statistics, 99(3): 402416.CrossRefGoogle Scholar
Gunther, I. and Launov, A. (2012), ‘Informal Employment in Developing Countries: Opportunity or Last Resort?’, Journal of Development Economics, 97(1): 8298.CrossRefGoogle Scholar
Guriev, S. and Zhuravskaya, E. (2009), ‘(Un)happiness in Transition’, Journal of Economic Perspectives, 23(2): 143168.CrossRefGoogle Scholar
Hanousek, J. and Palda, F. (2002), Why People Evade Taxes in the Czech and Slovak Republics: A Tale of Twins. CERGE-EI Discussion Paper 200285.Google Scholar
Helmke, G. and Levitsky, S. (2003), Informal Institutions and Comparative Politics: A Research Agenda. Paper prepared for the conference ‘Informal Institutions and Politics in Latin America’, Kellogg Institute for International Studies, University of Notre Dame, 24–25 April, 2003.Google Scholar
Hodgson, G. (2006), ‘What are Institutions?’, Journal of Economic Issues, 40(1): 125.CrossRefGoogle Scholar
Hussmanns, R. (2005), Defining and Measuring Informal Employment, http://www.ilo.org/pub-lic/english/bureau/stat/download/papers/meas.pdf (accessed 28.09.2022).Google Scholar
Kaasa, A. and Andriani, L. (2022), ‘Determinants of Institutional Trust: The Role of Cultural Context’, Journal of Institutional Economics, 18: 4565.CrossRefGoogle Scholar
Kedir, A. M., Fethi, M. D. and Williams, C. C. (2011), Evaluating Tax Evasion in the European Union: A Case Study of the Prevalence and Character of ‘Envelope Wage’ Payments. Working Paper No. 11/33, University of Leicester, Department of Economics.Google Scholar
Kelmanson, B., Kirabaeva, K., Medina, L., Mircheva, D. and Weiss, J. (2019), Explaining the Shadow Economy in Europe: Size, Causes and Policy Options. IMF Working Paper WP/19/278.CrossRefGoogle Scholar
Knack, S. and Keefer, P. (1997), ‘Does Social Capital Have an Economic Payoff? A Cross-Country Investigation’, Quarterly Journal of Economics, 112(4): 12511288.CrossRefGoogle Scholar
Krynska, E., Bednarski, M., Walewski, M. and Pater, K. (2007), Raport Z Badania ‘Przyczyny Pracy Nierejestrowanej, Jej Skala, Charakter I Skutki Spoleczne’ (Report from a Survey ‘Causes of Unregistered Employment, Scale Character and Social Implications’), Technical Report. Ministry of Labour and Social Affairs, Center for Socio-Economic Research: Warsaw.Google Scholar
Letki, N. (2006), ‘Investigating the Roots of Civic Morality: Trust, Social Capital and Institutional Performance’, Political Behavior, 28: 305325.CrossRefGoogle Scholar
Letki, N. (2015), Public Goods through Private Eyes. Data Set, Warsaw: University of Warsaw.Google Scholar
Liwiński, J. (2022), ‘Informal Employment and Wages in Poland’, International Journal of Manpower. https://doi.org/10.1108/IJM-03-2021-0196.Google Scholar
Lubian, D. and Zarri, L. (2011), ‘Happiness and Tax Morale: An Empirical Analysis’, Journal of Economic Behavior and Organization, 80(1): 223243.CrossRefGoogle Scholar
Luttmer, E. F. P. and Singhal, M. (2014), ‘Tax Morale’, Journal of Economic Perspectives, 28(4): 149168.CrossRefGoogle Scholar
Maloney, W. (2004), ‘Informality Revisited’, World Development, 32(7): 11591178.CrossRefGoogle Scholar
Mascagni, G. (2018), ‘From the Lab to the Field: A Review of Tax Experiments’, Journal of Economic Surveys, 32(2): 273301.CrossRefGoogle Scholar
Medina, L. and Schneider, F. (2018), Shadow Economies around the World: What Did We Learn over the Last 20 Years? IMF Working Paper 18/17. International Monetary Fund.CrossRefGoogle Scholar
Meriküll, J. and Staehr, K. (2010), ‘Unreported Employment and Envelope Wages in Mid-Transition: Comparing Developments and Causes in the Baltic Countries’, Comparative Economic Studies, 52: 637670.CrossRefGoogle Scholar
Molero, J. C. and Pujol, F. (2004), Walking Inside the Potential Tax Evader's Mind. Paper presented at the 2004 European Public Choice Society Meetings, Berlin.Google Scholar
Nikolova, M. (2016), ‘Minding the Happiness Gap: Political Institutions and Perceived Quality of Life in Transition’, European Journal of Political Economy, 45: 129148.CrossRefGoogle Scholar
North, D. C. (1990), Institutions, Institutional Change and Economic Performance, Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
North, D. C. (1994), ‘Economic Performance Through Time’, American Economic Review, 84(3): 359368.Google Scholar
Nunn, C. Z., Crockett, H. J. and Williams, A. J. (1978), Tolerance for Non-Conformity, San Francisco: Jossey-Bass.Google Scholar
Organisation for Economic Co-operation and Development (OECD). (2002), Measuring the Non-Observed Economy, Paris: OECD.Google Scholar
Orviska, M. and Hudson, J. (2002), ‘Tax Evasion, Civic Duty and the Law-Abiding Citizen’, European Journal of Political Economy, 19(1): 83102.CrossRefGoogle Scholar
Pejovich, S. (1999), ‘The Effects of the Interaction of Formal and Informal Institutions on Social Stability and Economic Development’, Journal of Markets & Morality, 2(2): 164181.Google Scholar
Perry, G., Maloney, W., Arias, O., Fajnzylber, P., Mason, A. and Saavedra-Chanduvi, J. (2007), Informality – Exit and Exclusion, Washington, USA: The World Bank.CrossRefGoogle Scholar
Polese, A., Moisé, G. M., Tokyzhanova, T., Aguzzi, T., Kerikmäe, T., Sagynbaeva, A., Sauka, A. and Seliverstova, O. (2022), ‘Informality versus Shadow Economy: Reflecting on the First Results of a Manager's Survey in Kyrgyzstan’, Central Asian Survey. doi: 10.1080/02634937.2022.2093328.Google Scholar
Putnam, R. D. (1993), Making Democracy Work: Civic Traditions in Modern Italy (with Leonardi, R, Nanetti, R.Y.), Princeton, NJ: Princeton University Press.Google Scholar
Rose, R. (2000), ‘Getting Things Done in an Anti-Modern Society: Social Capital Networks in Russia’, in Dasgupta, P. and Serageldin, I. (eds.), Social Capital: A Multifaceted Perspective, Washington, DC: The World Bank, pp. 147172.Google Scholar
Rothstein, B. (2005), Social Traps and the Problem of Trust, Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Rothstein, B. (2021), Controlling Corruption: The Social Contract Approach, Oxford: Oxford University Press.CrossRefGoogle Scholar
Schneider, F. and Enste, D. H. (2000), ‘Shadow Economies: Size, Causes and Consequences’, Journal of Economic Literature, 38(1): 77114.CrossRefGoogle Scholar
Slemrod, J. (2019), ‘Tax Compliance and Enforcement’, Journal of Economic Literature, 57(4): 904954.CrossRefGoogle Scholar
Tabellini, G. (2010), ‘Culture and Institutions: Economic Development in the Regions of Europe’, Journal of the European Economic Association, 8(4): 677716.CrossRefGoogle Scholar
Tindigarukayo, J. (2001), ‘Challenges in Conducting Sample Surveys in the Caribbean’, Social and Economic Studies, 50(2): 167188.Google Scholar
Torgler, B. (2002), Does Culture Influence Tax Morale? Evidence from Different European Countries. WWZ (Wirtschaftswissenschaftlichen Zentrum der Universitaet Basel) Discussion Paper, 02/08.Google Scholar
Torgler, B. (2003), ‘Tax Morale, Rule-Governed Behaviour and Trust’, Constitutional Political Economy, 14: 119140.CrossRefGoogle Scholar
Torgler, B. (2005), ‘Tax Morale in Latin America’, Public Choice, 122: 133157.CrossRefGoogle Scholar
Torgler, B. (2012), ‘Tax Morale, Eastern Europe and European Enlargement’, Communist and Post-communist Studies, 45(1-2): 1125.Google Scholar
Tridico, P. (2013), ‘Values, Institutions, and Models of Institutional Change in Transition Economies’, Challenge, 56(3): 627.CrossRefGoogle Scholar
Uslaner, E. M. (2010), ‘Tax Evasion, Corruption, and the Social Contract in Transition’, in Alm, J., Martinez-Vazquez, J. and Torgler, B. (eds), Developing Alternative Frameworks for Explaining Tax Compliance, London and New York: Routledge, pp. 174190.Google Scholar
van Praag, B. M. S. and Ferrer-i-Carbonell, A. (2004), Happiness Quantified: A Satisfaction Calculus Approach, Oxford, UK: Oxford University Press.CrossRefGoogle Scholar
Williams, C. C. (2010a), ‘Explaining Participation in Undeclared Work’, European Societies, 12(3): 391418.CrossRefGoogle Scholar
Williams, C. C. (2010b), ‘Beyond the Formal/Informal Jobs Divide: Evaluating the Prevalence of Hybrid ‘Under-Declared’ Employment in South-Eastern Europe’, The International Journal of Human Resource Management, 21(14): 25292546.CrossRefGoogle Scholar
Williams, C. C. (2014), Confronting the Shadow Economy: Evaluating Tax Compliance and Behaviour Policies, Cheltenham: Edward Elgar Publishing.CrossRefGoogle Scholar
Williams, C. C. and Horodnic, I. A. (2016), ‘Evaluating the Illegal Employer Practice of Under-Reporting Employees’ Salaries’, British Journal of Industrial Relations, 55(1): 83111.CrossRefGoogle Scholar
Williams, C. C. and Round, J. (2009), ‘Beyond Hierarchical Representations of the Formal/Informal Employment Dualism’, European Societies, 11(1): 77101.CrossRefGoogle Scholar
Williams, C. C., Franic, J. and Dzhekova, R. (2014), ‘Explaining the Underground Economy in Bulgaria: An Institutional Asymmetry Perspective’, South East European Journal of Economics and Business, 9(2): 3345.CrossRefGoogle Scholar
Figure 0

Table 1. Institutions and tax evasion

Figure 1

Table 2. Moderating effects of social and institutional context on the relationship between tax evasion and life satisfaction