Doron Ravid

Assistant Professor,  

University of Chicago ,  Kenneth C. Griffin Department of Economics


Office Location: Saieh Hall 433

Mailing Address: 1126 E. 59th Street, Chicago, IL 60637

Curriculum Vitae

Published, Forthcoming and Accepted Papers 

Knowing the Informed Player's Payoffs and Simple Play in Repeated Games (with Takuma Habu and Elliot Lipnowski, conditionally accepted at JET)

We revisit the classic model of two-player repeated games with undiscounted utility, observable actions, and one-sided incomplete information, and further assume the informed player has state-independent preferences. We show the informed player can attain a payoff in equilibrium if and only if she can attain it in the simple class of equilibria first studied by Aumann, Maschler, and Stearns (1968), in which information is only revealed in the game's initial stages. This sufficiency result does not extend to the uninformed player's equilibrium payoff set.

Flexible Moral Hazard Problems (with George Georgiadis and Balazs Szentes, Econometrica, 2024) [slides]

This paper considers a moral hazard problem where the agent can choose any output distribution with a support in a given compact set. The agent's effort-cost is smooth and increasing in first-order stochastic dominance. To analyze this model, we develop a generalized notion of the first-order approach applicable to optimization problems over measures. We demonstrate that each output distribution can be implemented and identify those contracts which implement that distribution. Contracts are characterized by a simple first-order condition which equates the agent's marginal cost of changing the implemented distribution with its marginal benefit. Furthermore, the agent's wage is shown to be increasing in output. Finally, we consider the problem of a profit-maximizing principal and provide a first-order characterization of principal-optimal distributions. 

Persuasion via Weak Institutions (with Elliot Lipnowski and Denis Shishkin, Journal of Political Economy, 2022)

A sender commissions a study to persuade a receiver, but influences the report with some probability. We show that increasing this probability can benefit the receiver and can lead to a discontinuous drop in the sender’s payoffs. To derive our results, we geometrically characterize the sender’s highest equilibrium payoff, which is based on the concavification of a capped value function. 

Learning Before Trading: On the Inefficiency of Ignoring Free Information  (with Anne-Katrin Roesler and Balazs Szentes, Journal of Political Economy, 2022)

This paper analyzes a bilateral trade model where the buyer's valuation for the object is uncertain and she can privately purchase any signal about her valuation. The seller makes a take-it-or-leave-it offer to the buyer. The cost of a signal is smooth and increasing in informativeness. We characterize the set of equilibria when learning is free and show that they are strongly Pareto ranked. Our main result is that, when learning is costly but the cost of information goes to zero, equilibria converge to the worst free-learning equilibrium.

Pooled Testing for Quarantine Decisions (with Elliot Lipnowski, Journal of Economic Theory, 2021

We study optimal testing to inform quarantine decisions for a population exhibiting heterogeneous probability of carrying a pathogen. Because test supply is limited, the planner may choose to test a pooled sample, which contains the specimens of multiple individuals (Dorfman, 1943). We characterize the unique optimal allocation of tests. This allocation features  assortative batching, whereby agents of differing infection risk are never jointly tested.  Moreover, the planner tests only individuals whose prior quarantine decision is most uncertain. Finally, individuals with higher infection risk are tested in smaller batches, because such tests minimize the informational externality of group testing.

Bad Temptation (with Kai Steverson, Journal of Mathematical Economics, 2021)

We study a static self-control model in which an agent's preference, temptation ranking, and cost of self-control drive her choices among a finite set of options. We show that it is without loss to assume that the agent's temptation ranking is the opposite of her preference. We characterize the model by relaxing the Weak Axiom of Revealed Preference (WARP), and exploit WARP violations to identify the model's parameters.

Ultimatum Bargaining with Rational Inattention (American Economic Review, 2020)

A seller bargains with a rationally inattentive buyer (Sims, 2003) over a good of random quality. After observing quality, the seller makes a take-it-or-leave-it offer. The buyer pays attention to the seller's product and offer at a cost proportional to expected entropy reduction. Because attention is free off-path, multiple equilibria emerge, many of which are efficient. A trembling-hand-like refinement (Selten, 1975) rules out efficiency, delivering complete disagreement when attention is expensive and a unique equilibrium with trade when attention is cheap. In this equilibrium, the buyer overpays for low-quality goods, underpays for high-quality goods, and earns a strictly positive payoff. 

(old working paper version which includes dynamics)

Cheap Talk with Transparent Motives (with Elliot Lipnowski, Econometrica 2020) [SLIDES, Online Appendix

We study a model of cheap talk with one substantive assumption: The sender’s preferences are state-independent. Our main observation is that such a sender gains credibility by garbling self-serving information. Using this observation, we examine the possibility of valuable communication, assess the value of commitment, and explicitly solve for sender-optimal equilibria in several examples. A key result is a geometric characterization of the value of cheap talk, described by the quasiconcave envelope of the sender’s value function.

Working Papers

Robust Predictions in Games with Rational Inattention (with Tommaso Denti, abstract in Economics and Computation 2024) [Online Appendix]

We derive robust predictions in games involving flexible information acquisition, also known as rational inattention (Sims, 2003). These predictions remain accurate regardless of the exact specification of players’ learning abilities. Compared to scenarios where information is predetermined, rational inattention reduces welfare and introduces additional constraints on behavior. We show these constraints generically do not bind; the two knowledge regimes are behaviorally indistinguishable in most environments. Yet, we demonstrate the welfare difference they generate is robust: optimal policy depends on whether one assumes information is given or acquired. We provide the necessary tools for policy analysis in this context.

Predicting Choice from Information Costs (with Elliot Lipnowski, abstract in Economics and Computation 2023)

An agent acquires a costly flexible signal before making a decision. We explore the degree to which knowledge of the agent's information costs help predict her behavior. We establish an impossibility result: learning costs alone generate no testable restrictions on choice without also imposing constraints on actions' state-dependent utilities. By contrast, for most utility functions, knowing both the utility and information costs enables a unique behavioral prediction. Finally, we show that for smooth costs, most choices from a menu uniquely pin down the agent's decisions in all submenus.

Monopoly, Product Quality, and Flexible Learning  (with Jeffrey Mensch, abstract in Economics and Computation 2024)

A seller offers a buyer a schedule of transfers and associated product qualities, as in Mussa and Rosen (1978). After observing this schedule, the buyer chooses a flexible costly signal about his type. We show it is without loss to focus on a class of mechanisms that compensate the buyer for his learning costs. Using these mechanisms, we prove the quality always lies strictly below the efficient level. This strict downward distortion holds even if the buyer acquires no information or when the buyer's posterior type is the highest possible given his signal, reversing the ``no distortion at the top'' feature that holds when information is exogenous. 

Perfect Bayesian Persuasion (with Elliot Lipnowski and Denis Shishkin)

A sender commits to an experiment to persuade a receiver. Accounting for the sender’s experiment-choice incentives, and not presupposing a receiver tie-breaking rule when indifferent, we characterize when the sender’s equilibrium payoff is unique and so coincides with her “Bayesian persuasion” value. A sufficient condition in finite models is that every action which is receiver-optimal at some belief is uniquely optimal at some other belief—a generic property. We similarly show the equilibrium sender payoff is typically unique in ordered models. In an extension, we show uniqueness generates robustness to imperfect sender commitment.

Focus, Then Compare (with: Kai Steverson)

We study the following random choice procedure. First, the agent focuses on an option at random from the set of available options. Then, she compares the focal option to each other available alternative. Comparisons are binary, random and independent of each other. The agent chooses the focal option if it passes all comparisons favorably. Otherwise, the agent draws a new focal option with replacement. We characterize the procedure's revealed preference implications, show that it accommodates the Attraction effect and Choice overload, and discuss how to conduct welfare comparisons. We conclude by showing that while utility maximization is the procedure's unique deterministic special case, nearly deterministic versions of the procedure can exhibit context effects.


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