Climate change is one of the major global challenges. Mitigating its impact is however bedeviled by free-rider problems and external effects. We thus study the problem of optimal carbon abatement in a dynamic non-cooperative game-theoretical setting involving multiple countries that are open...

We present a dynamic quantity setting game, where players may continuously adjust their quantity targets, but incur convex adjustment costs when they do so. These costs allow players to use quantity targets as a partial commitment device. We show that the equilibrium path of such a game is...

In this paper we present the results from a "corruption game" (a dictator game modified so that the second player can accept a side payment that reduces the overall size of the pie). Dictators (silently) treated to have the possibility of taking a larger proportion of the recipient's tokens,...

In polarized committees, majority voting disenfranchises the minority. Allowing voters to spend freely a fixed budget of votes over multiple issues restores some minority power. However, it also creates a complex strategic scenario: a hide-and-seek game between majority and minority voters that...

Previous findings on punishment have focused on environments in which the outcomes are known with certainty. In this paper, we conduct experiments to investigate how punishment affects cooperation in a two-person stochastic prisoner's dilemma environment where each person can decide whether or...

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...