We present an infinite-horizon model of moral standards where self-esteem and unconscious drives play key roles. In the model, an individual receives random temptations (such as bribe offers) and must decide which to resist. Individual actions depend both on conscious intent and a type...

We study the role of diversity and performance in the entrepreneurial teams. We exploit a unique dataset of MBA students who participated in a required course to propose and start a real micro-business that allows us to examine horizontal diversity (i.e., within the team) as well as vertical...

We characterize investors’ moral preferences in a parsimonious experimental setting, where we auction stocks with various ethical features. We find strong evidence that investors seek to align their investments with their social values (“value alignment”), and find no evidence of behavior...

Most economic analyses presume that there are limited differences in the prior beliefs of individuals, as assumption most often justified by the argument that sufficient common experiences and observations will eliminate disagreements. We investigate this claim using a simple model of Bayesian...

We study the role of commitment in communication and its interactions with rules, which determine whether or not information is verifiable. Our framework nests models of cheap talk, information disclosure, and Bayesian persuasion. Our model predicts that commitment has opposite effects on...

Deferred Acceptance (DA), a widely implemented algorithm, is meant to improve allocations: under classical preferences, it induces preference-concordant rankings. However, recent evidence shows that—in both real, large-stakes applications and experiments—participants frequently play...

Coordination is central to social interactions. Theory and conventional lab experiments suggest that cheap talk/communication can enhance coordination under certain conditions. Two aspects that remain underexplored are (1) the interaction between the number of players (group size) and...