Asymmetric information plays an important role in markets and politics. When parties are asymmetrically informed and have misaligned preferences, they may be hurt by adverse selection. By contrast, if parties know that their preferences are aligned, they may benefit from advantageous selection....

In a finitely repeated game with asymmetric information, we experimentally study how individuals adapt the nature of their lies when settings allow for reputation-building. While some lies can be detected ex post by the uninformed party, others remain deniable. We find that traditional market...

We experimentally study decentralized one-to-one matching markets with transfers. We vary the information available to participants, complete or incomplete, and the surplus structure, supermodular or submodular. Several insights emerge. First, while markets often culminate in efficient...

We experimentally study decentralized one-to-one matching markets with transfers. We vary the information available to participants, complete or incomplete, and the surplus structure, supermodular or submodular. Several insights emerge. First, while markets often culminate in efficient...

We study how people think others update their beliefs upon encountering new evidence. We find that when two individuals share the same prior, one believes that new evidence cannot systematically shift the other's beliefs in either direction (Martingale property). When the two have different...

We consider a game where one player, the Announcer, has to communicate the value of a payoff relevant state of the world to a set of players who play a coordination game with multiple equilibria. While the Announcer and the players agree that coordination is desirable, since the payoffs of the...

We analyze a model of political competition in which the elite forms endogenously to aggregate information and advise the uninformed median voter which candidate to choose. The median voter knows whether or not the endorsed candidate is biased toward the elites, but might still prefer the biased...