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We analyze a class of coordination games in which the Kth player to submit an entry wins a contest. These games have an infinite number of symmetric equilibria and the set of equilibria does not change with K. We run experiments with 15 participants and with K = 3, 7, and 11. Our experiments show that the value of K affects initial submissions and convergence to equilibrium. When K is small relative to the number of participants, our experiments show that repeated play converges to or near zero. When K is large, an equilibrium is often not reached as a result of repeated play. We seek explanations to these patterns in hierarchical thinking and direction learning.
The essay explores Japan's policies of containing infection without heavy reliance on legally imposed lockdowns or digital surveillance. It examines the ‘social measures’ that local governments and the Ministry of Health relied on, including consistent public health messaging, contact tracing, education, with a focus on behavior modification. The pandemic worldwide has highlighted the importance of society in addition to the state in controlling infection. This article points out the benefits of this form of social control as well as its trade-offs, including stress concerning social expectations, informal forms of social control, and incidences of harassment and discrimination against the diseased.
We investigate experimentally how granting a manager stock ownership and the opportunity to trade shares of a company’s stock influence the manager’s effort and the overall behavior of the market for the company’s shares. In our design, managerial effort affects the fundamental value of the firm. Our findings suggest that endowing a manager with stock does not significantly increase the manager’s effort. When the manager is allowed to trade the company’s shares, however, she tends to accumulate additional shares, increase her effort, and raise company value. In all of our treatments, prices tend to reflect underlying fundamentals, and bubbles are rare.
This paper focuses on civic activities to conserve underground sites that reveal the dark heritage of wartime forced labor in Japan. At times collaborating and at other times competing with others, various local groups seek to bring these shameful heritages to the center of the Japanese memory-scape. In doing so, these movements challenge Japan's homogenizing national war memories and carve out a democratic public sphere to renegotiate understanding of the war heritage.
Prior archival studies of analysts’ forecasts have found evidence for systematic underreaction, systematic overreaction, and systematic optimism bias. Easterwood and Nutt (1999) attempt to reconcile the conflicting evidence by testing the robustness of Abarbanell and Bernard's (1992) underreaction results to the nature of the information. Consistent with systematic optimism, forecasts are found to underreact to negative earnings information but overreact to positive information. However, Easterwood and Nutt are unable to distinguish between misreaction caused by incentives unique to analysts with misreaction caused by human decision bias that may be typical of investors. We address this issue by analyzing forecast reactions to positive versus negative information in the controlled experimental setting of Gillette, Stevens, Watts, and Williams (1999). The forecast data reveal systematic underreaction to both positive and negative information, and the underreaction is generally greater for positive information than negative information. This suggests that prior empirical evidence of forecast overreaction to positive information is unlikely to be attributable to human decision bias.
This paper reports a field experiment involving manipulation of invitations to register in an experimental economics subject database. Two types of invitations were sent out: one emphasizing pecuniary and the other non-pecuniary benefits of participation. The former resulted in higher response rate and the strength of this treatment effect was comparable in different groups defined by gender and academic major. In a follow-up test conducted about a year later it was found that individuals recruited by invitations emphasizing monetary benefits were less willing to make an effort to participate in a non-paid survey. The very same survey also showed that they were marginally less altruistic in general.
We report the results of an experimental investigation of a key axiom of economic theories of dynamic decision making—namely, that agents plan. Inferences from previous investigations have been confounded with issues concerning the preference functionals of the agents. Here, we present an innovative experimental design which is driven purely by dominance: if preferences satisfy dominance, we can infer whether subjects are planning or not. We implement three sets of experiments: the first two (the Individual Treatments) in which the same player takes decisions both in the present and the future; and the third (the Pairs Treatment) in which different players take decisions at different times. The two Individual treatments differed in that, in one, the subjects played sequentially, while, in the other, the subjects had to pre-commit to their future move. In all contexts, according to economic theory, the players in the present should anticipate the decision of the player in the future. We find that over half the participants in all three experimental treatments do not appear to be planning ahead; moreover, their ability to plan ahead does not improve with experience, except possibly when we force subjects to pre-commit to their future decision. These findings identify an important lacuna in economic theories, both for individual behaviour and for behaviour in games.
Ending a war is like stopping a heavy truck. Even when you slam on the brakes, the mass and inertia of the conflict takes a very long time to halt; the violence might end but the effects can reverberate through decades and generations. German units still find and defuse bombs in Germany dropped during World War II; French deminers regularly collect and destroy artillery shells on the Western Front from World War I, over a hundred years ago. During the active phase of a war, many of the shells and bombs hurled by armies on both sides fail to explode upon impact; many land mines are never tripped. Later they are forgotten in the forests or jungles, covered by vegetation or shifting soil, washed away by rain or floods - or sometimes they just sit there in plain sight. They linger for years or decades, waiting for children or unsuspecting villagers, scrap metal scavengers, or construction workers to wander by.
USMC handbooks and reports obtained under the U.S. Freedom of Information Act casts new light on environmental accidents that occurred on three of the USMC's most important installations on Okinawa: MCAS Futenma, Camp Hansen and Camp Schwab. The earliest report is dated June 2002 and the most recent June 2016. Of the 270 accidents, it appears that only 6 were reported to Japanese authorities - 3 of which because the USMC required the help of local emergency services to clean up. This report examines the environmental contamination resulting from these accidents and the handling of the cases by the USMC authorities.
We introduce a wall model for large-eddy simulation (WMLES) applicable to rough surfaces with Gaussian and non-Gaussian distributions for both the transitionally and fully rough regimes. The model is applicable to arbitrary complex geometries where roughness elements are assumed to be underresolved, i.e. subgrid-scale roughness. The wall model is implemented using a multi-hidden-layer feedforward neural network, with the mean geometric properties of the roughness topology and near-wall flow quantities serving as input. The optimal set of non-dimensional input features is identified using information theory, selecting variables that maximize information about the output while minimizing redundancy among inputs. The model also incorporates a confidence score based on Gaussian process modelling, enabling the detection of potentially low model performance for untrained rough surfaces. The model is trained using a direct numerical simulation (DNS) roughness database comprising approximately 200 cases. The roughness geometries for the database are selected from a large repository through active learning. This approach ensures that the rough surfaces incorporated into the database are the most informative, achieving higher model performance with fewer DNS cases compared with passive learning techniques. The performance of the model is evaluated both apriori and aposteriori in WMLES of turbulent channel flows with rough walls. Over 550 channel flow cases are considered, including untrained roughness geometries, roughness Reynolds numbers and grid resolutions for both transitionally and fully rough regimes. Our rough-wall model offers higher accuracy than existing models, generally predicting wall shear stress within an accuracy range of 1%–15 %. The performance of the model is also assessed on a high-pressure turbine blade with two different rough surfaces. We show that the new wall model predicts the skin friction and the mean velocity deficit induced by the rough surface on the blade within 1%–10 % accuracy except the region with transition or shock waves. This work extends the building-block flow wall model (BFWM) introduced by Lozano-Durán & Bae (2023. J. Fluid Mech.963, A35) for smooth walls, expanding the BFWM framework to account for rough-wall scenarios.
Is the assumption that people automatically know their own preferences innocuous? We present an experiment studying the limits of preference discovery. If tastes must be learned through experience, preferences for some goods may never be learned because it is costly to try new things, and thus non-learned preferences may cause welfare loss. We conduct an online experiment in which finite-lived participants have an induced utility function over fictitious goods about whose marginal utilities they have initial guesses. Subjects learn most, but not all, of their preferences eventually. Choice reversals occur, but primarily in early rounds. Subjects slow their sampling of new goods over time, supporting our conjecture that incomplete learning can persist. Incomplete learning is more common for goods that are rare, have low initial value guesses, or appear in choice sets alongside goods that appear attractive. It is also more common for people with lower incomes or shorter lifetimes. More noise in initial value guesses has opposite effects for low-value and high-value goods because it affects the perceived likelihood that the good is worth trying. Over time, subjects develop a pessimistic bias in beliefs about goods’ values, since optimistic errors are more likely to be corrected. Overall, our results show that if people need to learn their preferences through consumption experience, that learning process will cause choice reversals, and even when a person has completed sampling the goods she is willing to try, she may continue to lose welfare because of suboptimal choices that arise from non-learned preferences.
One important determinant of voluntary contributions to public goods is the value of the public good relative to that of the forgone private good. Isaac, Walker and Thomas (1984) formalized this relation in the Marginal Per Capita Return (MPCR) and demonstrated its influence on the provision of linear public goods. This paper develops a parallel concept, in the context of a threshold public good, the Step Return (SR). After providing a meta-analysis of the effect of SR in previous experiments, we compare contributions in threshold public goods games with low, medium and high SRs. Results show that subjects respond to the SR in this setting just as they respond to the MPCR in the linear public goods setting: higher SRs lead to more contributions.
Sri Lanka's first confirmed coronavirus cases of a foreigner and a local took place on 27 January and 10 March respectively. Upon prematurely dissolving the Parliament, the country's attention was on holding an election on 25 April to further consolidate the power in the legislature riding on the victory at the Presidential Polls in November 2019. All were gearing up for a tough electoral battle. This was also the season of school cricket battles - a Sri Lankan preoccupation. While the number of infected cases as well as deaths gradually increased, the response to the pandemic was an embellishment of public health, politics and cricket within a quasi-democratic vacuum.
Demands in the Ultimatum Game in its traditional form with one proposer and one responder are compared with demands in an Ultimatum Game with responder competition. In this modified form one proposer faces three responders who can accept or reject the split of the pie. Initial demands in both ultimatum games are quite similar, however in the course of the experiment, demands in the ultimatum game with responder competition are significantly higher than in the traditional case with repeated random matching. Individual round-to-round changes of choices that are consistent with directional learning are the driving forces behind the differences between the two learning curves and cannot be tracked by an adjustment process in response to accumulated reinforcements. The importance of combining reinforcement and directional learning is addressed. Moreover, learning transfer between the two ultimatum games is analyzed.
Despite one of the world's strictest and longest lockdown policies, the Philippines' securitized approach to containing the COVID-19 pandemic has led to unnecessary suffering, especially in poor communities. This article explores how the Philippine government's prioritizing of punitive policies such as detaining quarantine violators or attempting to decongest Manila by sending poor families to neighbouring provinces, magnifies existing socio-spatial inequalities and further spreads disease. In many of these communities, poverty is a co-morbidity. As local governments struggle to provide frontline health and social welfare services, high-profile arrests, media shutdowns, and the proposed Anti-Terrorism Bill spark concerns about restrictions on free speech while movement is curtailed. Nevertheless, community and private sector efforts around localized healthcare, food security, and inclusive mobility indicate potential paths towards a ‘better normal’ that goes beyond just survival.
In contemporary Japan Ainu women create spaces of cultural vitalization wherein they transit between Ainu identity determined by their natal relationships and actively negotiating with Ainu identity through their art. Engaging in self-craft through cloth arts has empowered Ainu women to imagine new expressions of self and to redefine their identities as Ainu or mixed ancestry, and thus reflects women's lived realities and struggles. Women's clothwork, as well as musical performance and other arts, has also been pivotal to the Ainu Indigenous rights movement and to cultural revitalization efforts. By carefully positioning heritage cloth, ritual regalia, and ancestral patterns as mouthpieces of Ainu indigeneity, Ainu women have leveraged traditional knowledge to claim Indigenous rights in UN forums and the Japanese Diet.
As such, Ainu women move between “being Ainu,” a racist label attached to Ainu bodies by settler society, to actively “becoming Ainu” and determining what this means on their own terms. The author synthesizes ethnographic field research, museum, and archival research, and participation in cultural-revival and rights-based organizing to show how women craft Ainu and Indigenous identities through clothwork and how they also fashion lived connections to ancestral values and lifestyles.
Rabson discusses the new book, Base Towns: Local Contestation of the U.S. Military in Korea and Japan with the author, Claudia Junghyun Kim, who traces contentious politics surrounding twenty U.S. military bases across Japan and Korea—two of the largest U.S. base hosts in the world. Kim's book focuses on the municipalities hosting these bases and differing levels of community acceptance and resistance over time. The following excerpt from the book introduces key actors who shape base-community relations and their many twists and turns.
We use a within-subject experimental design to investigate whether systematic relationships exist across distinct features of individual preferences: altruism in a two-person context, risk aversion in monetary outcomes, and social preferences in a group context. We find that altruism is related to demographic variables, including years of education, gender, and age. Perhaps most importantly, self allocation in a two-person dictator game is related to social preferences in a group context. Participants who are more generous in a dictator game are more likely to vote against their self-interest in a group tax redistribution game which we interpret to be an expression of social preferences.
Back in the days of Richard Nixon and Henry Kissinger, the “strategic triangle” with the Soviet Union and China was the great game. The idea was to play off the two communist powers against one another, relying on their ideological warfare under Mao, deep cultural differences, and open conflict in border regions to sustain their mutual suspicions and fears of attack. Now the shoe is on the other foot, so to speak: China seems to be in charge of the game, using US-Russia enmity and its own on-again, off-again competition with the US to keep both those countries cooperative with and in need of Beijing.