Anne-Katrin Roesler

Assistant Professor

University of Toronto, Department of Economics

Max Gluskin House, 150 St. George Street, Office: 211

Email: ak.roesler[at]

Curriculum Vitae

Research interests: Mechanism Design, especially Information Design, Information Economics, Game Theory.

Published, accepted, and forthcoming papers:

Learning Before Trading: On The Inefficiency of Ignoring Free Information (joint with Doron Ravid and Balázs Szentes) [pdf]

Forthcoming at Journal of Political Economy

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.

Buyer-Optimal Learning and Monopoly Pricing (joint with Balázs Szentes) [pdf] - (Supplemental Material, pdf)

American Economic Review, 2017, 107(7), 2072-2080

This paper analyzes a bilateral trade model where the buyer's valuation for the object is uncertain and she observes only a signal about her valuation. The seller gives a take-it-or-leave-it offer to the buyer. Our goal is to characterize those signal structures which maximize the buyer's expected payoff. We identify a buyer-optimal signal structure which generates (i) efficient trade and (ii) a unit-elastic demand. Furthermore, we show that every other buyer-optimal signal structure yields the same outcome as the one we identify, in particular the same price.

Working Papers:

Multi-Dimensional Screening: Buyer-Optimal Learning and Informational Robustness (joint with Rahul Deb) [pdf]

A monopolist seller of multiple goods screens a buyer whose type is initially unknown to both but drawn from a commonly known distribution. The buyer privately learns about his type via a signal. We derive the seller’s optimal mechanism in two different information environments. We begin by deriving the buyer-optimal outcome. Here, an information designer first selects a signal, and then the seller chooses an optimal mechanism in response; the designer’s objective is to maximize consumer surplus. Then, we derive the optimal informationally robust mechanism. In this case, the seller first chooses the mechanism, and then nature picks the signal that minimizes the seller’s profits. We derive the relation between both problems and show that the optimal mechanism in both cases takes the form of pure bundling.

Private Learning and Exit Decisions in Collaboration (joint with Yingni Guo) [pdf]

We study a collaboration model in continuous time, with a positive arrival rate of a success in both the good and the bad state. If the project is bad, players may privately learn about it. At any time, players can choose whether to exit and secure the positive payoff of an outside option, or to stay with the project and exert costly effort. A player's effort not only increases the probability of success, but also serves as an investment in private learning.

We identify an equilibrium with three phases. In all phases, uninformed players exert positive effort. Players who become informed and learn that the project is bad never exert effort. Because players benefit from the effort of the others, informed players may not exit immediately. In the first, "no-exit" phase, informed players do not exit. In the subsequent, "gradual-exit" phase, they exit with a finite rate. In the final, "immediate-exit" phase, informed players exit immediately. We find that effort levels may increase in the no-exit phase, if the markup of effort in the bad state is positive. Surprisingly, increasing the payoff of the outside option encourages collaboration.

Information Disclosure in Markets: Auctions, Contests and Matching Markets [pdf]

We study the impact of information disclosure on equilibrium properties in a general model of a two-sided matching market that incorporates a large class of market design environments. In this model, each agent first privately observes an informative, but potentially noisy, signal about his private type. The agents then enter a matching stage in which they choose signaling investments to compete for match partners. In order to study the impact of information disclosure, we introduce a criterion that orders signals in terms of their informativeness. We show that information disclosure increases the expected total match output but may also increase wasteful signaling investments due to amplified competition within groups. The second effect may dominate, leading to a decrease in expected welfare. Disclosure effects on equilibrium properties depend on whether information is disclosed to agents on the short or the long side of the market. Implications of our findings to auctions, contests and matching markets are discussed.

Mechanism Design with Endogenous Information [pdf]

In mechanism design problems with endogenous information, regularity properties of the distribution of posterior estimates (types) are essential for tractability. Important properties are a monotone hazard rate, increasing virtual valuations or costs. Difficulties arise since these properties are not preserved under mixtures, and regularity of the prior distribution may not translate to the distribution of posterior types. In this note, we identify sufficient conditions on the primitives of an information structure, which guarantee that the distribution of posterior types has a monotone hazard rate, increasing virtual valuations or costs. These characterization results make it possible to study mechanism design problems with endogenous information, without imposing regularity conditions on the interim stage or restricting attention to specific information structures. Applications to information acquisition and disclosure in optimal auctions, and to allocation problems without money are discussed.

Preference Uncertainty and Conflict of Interest in Committees [pdf]

We propose and analyze a committee model, in which agents with interdependent values vote on whether to accept an alternative or to stick to the status quo. Agents hold two-dimensional private information: About a dimension of the payoff state, and about their individual preference type, which reflects an agent's level of partisanship.

In equilibrium committee members adopt cutoff-strategies, and an agent's preference type is reflected in his acceptance standard. We identify how the composition of a committee affects its decisions: As the population of committee members becomes more partisan, agents adjust their acceptance standards more, and equilibrium cutoffs move away from the sincere voting threshold. By contrast, an agent who finds himself in a committee with more heterogeneity of preference types, is more uncertain about the preferences of others, and hence bases his vote more on his own, privately observed signal.

Other Contributions:

Advances in Mechanism Design: Information Management and Information Design [pdf]

The Bonn Journal of Economics, Volume V, No. 1, July 2016, pp. 13 - 24.