This paper presents the first laboratory study of risk-sharing without commitment. Our experiment captures the main features of a simple model of voluntary insurance between two agents. In the model, two individuals interact over a potential infinite horizon and suffer random income shocks....

Our laboratory study of risk sharing without commitment captures the main features of a simple model of voluntary insurance. Participants are paired in matches with stochastic endings. Each period they receive fixed endowments and one of the pair (randomly-drawn) also receives an additional...

In this paper, individuals are characterized by their identity -- an ideal code of conduct -- and by a level of tolerance for behaviors that differ from their own ideal. Individuals first choose their behavior, then form social networks. This paper studies the possibility of compromise, i.e....

This paper shows that when donors and recipients care about each other --two-sided altruism -- the presence of asymmetry of information about the donor's income leads very naturally to a signaling game. A donor who cares about the recipient's welfare has incentives to appear richer than he is...

This paper investigates the impact of internal migration on child labor outcomes in Brazil. We develop a theoretical model and evaluate it on children aged 10 to 14 using two decades of Census data. In our model, migration impacts child labor through changes in the local labor market, which is...

This paper studies asymmetry of information and transfers within a unique data set of 712 extended family networks from Tanzania. Using cross-reports on asset holdings, we construct measures of misperception of income among all pairs of households belonging to the same network. We show that...

This paper studies asymmetry of information and transfers within a unique data set of 712 extended family networks from Tanzania. Using cross-reports on asset holdings, we construct measures of misperception of income among all pairs of households belonging to the same network. We show that...