This paper develops a theory in which heterogeneity in political preferences produces a partisan disagreement about objective facts. A political decision involving both idiosyncratic preferences and scientific knowledge is considered. Voters form motivated beliefs in order to improve their...

We study the inference and experimentation problem of an agent in a situation where the outcomes depend on the individual's intrinsic ability and on an external variable. We analyze the mistakes made by decision-makers who hold inaccurate prior beliefs about their ability. Overconfident...

We study the inference and experimentation problem of an agent in a situation where the outcomes depend on the individual's intrinsic ability and on an external variable. We analyze the mistakes made by decision-makers who hold inaccurate prior beliefs about their ability. Overconfident...

How can naivete about present bias persist despite experience? To answer this question, our experiment investigates participants' ability to learn from their own behavior. Participants decide how much to work on a real effort task on two predetermined dates. In the week preceding each work date,...

How can naiveté about present bias persist despite experience? To answer this question, our experiment investigates participants' ability to learn from their own behavior. Participants decide how much to work on a real effort task on two predetermined dates. In the week preceding each work...

We exhibit a natural environment, social learning among heterogeneous agents, where even slight misperceptions can have a large negative impact on long-run learning outcomes. We consider a population of agents who obtain information about the state of the world both from initial private signals...

We study to what extent information aggregation in social learning environments is robust to slight misperceptions of others' characteristics (e.g., tastes or risk attitudes). We consider a population of agents who obtain information about the state of the world both from initial private signals...

We present an approach to analyze learning outcomes in a broad class of misspecified environments, spanning both single-agent and social learning. We introduce a novel “prediction accuracy” order over subjective models, and observe that this makes it possible to partially restore standard...

We study settings in which, prior to playing an incomplete information game, players observe many draws of private signals about the state from some information structure. Signals are i.i.d. across draws, but may display arbitrary correlation across players. For each information structure, we...