Working Papers

A Taste for Variety (with Galit Ashkenazi-Golan and Ehud Lehrer, revise and resubmit at Games and Economic Behavior)

A decision maker repeatedly chooses one of a finite set of actions. In each period, the decision maker's payoff depends on fixed basic payoff of the chosen action and the frequency with which the action has been chosen in the past. We analyze optimal strategies associated with three types of evaluations of infinite payoffs: discounted present value, the limit inferior, and the limit superior of the partial averages. We show that when the first two are the evaluation schemes, a stationary strategy can always achieve the best possible outcome. However, for the latter evaluation scheme, a stationary strategy can achieve the best outcome only if all actions that are chosen with strictly positive frequency by an optimal stationary strategy have the same basic payoff.

Strategic Information Selection (with Jurek Preker, Version from March 2024)

Before choosing her action to match the state of the world, an agent observes a stream of messages generated by some unknown binary signal. The agent can either learn the underlying signal for free and update her belief accordingly or ignore the observed message and keep her prior belief. After each period the stream stops with positive probability and the final choice is made. We show that a Markovian agent with Gilboa-Schmeidler preferences learns and updates after confirming messages, but she ignores contradicting messages if her belief is sufficiently strong. Her threshold solely depends on the least precise signal. The agent has strictly higher anticipatory utility than an agent who uses every message to update. However, the latter has a higher chance to choose the correct outcome in the end. In a population of strategic agents, who only differ in their initial beliefs, polarization is inevitable.

From Prejudice to Racial Profiling and Back (with Manuel Foerster, Version from February 2021)

A designer conducts random searches to detect criminals, and may condition the search probability on individuals' appearance. She updates her belief about the distribution of criminals across appearances using her search results, but incorrectly takes her sample distribution for the population distribution. In equilibrium she employs optimal search probabilities given her belief, and her belief is consistent with her findings. We show that she will be discriminating an appearance if and only if she overestimates the probability of this appearance's being criminal. Moreover, in a linear model, tightening her budget will worsen the situation of those most discriminated against.

Coordinated Uprising and the Destabilizing Effect of Political Violence (Version from March 2016)

If protesters can coordinate, the probability that an anti-government protest turns into a successful revolution is higher under repressive than under democratic regimes. This is true for arbitrary social networks with heterogeneous agents. The implications of the provided model are illustrated using data on protests, revolutions, and political terror worldwide between 1976 and 2014.