Claudia Herresthal

Postdoctoral Researcher
Institute for Microeconomics, University of Bonn

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I am an economist with interest in microeconomic theory,
particularly in information economics and game theory.

Find my CV here.


Institute for Microeconomics, University of Bonn
Adenauerallee 24-42, 53113 Bonn, Germany

Hidden Testing and Selective Disclosure of Evidence (pdf)

Revise and Resubmit at Journal of Economic Theory

An agent can sequentially run informative tests about an unknown state and disclose (some or all) outcomes to a decision maker who then faces an approval choice. Players agree on the optimal choice under certainty, but the decision maker has a higher approval threshold than the agent. I compare the case where testing is hidden and the agent chooses which test outcomes to verifiably disclose to the case where testing is observable. When testing is observable, I show that the agent may strategically stop testing even if further tests could yield a mutual benefit. I find conditions under which the decision maker is strictly better off under hidden testing and in some equilibria both players are strictly better off under hidden testing than in the unique equilibrium under observable testing.

Performance-Based Rankings and School Quality (pdf)

The Economic Journal, Volume 130, Issue 630, August 2020, Pages 1729–1752

I study students' inferences about school quality from performance-based rankings in a dynamic setting. Schools differ in location and unobserved quality, students differ in location and ability. Short-lived students observe a school ranking as a signal about schools' relative quality, but this signal also depends on the ability of schools' past intakes. Students apply to schools, trading off expected quality against proximity. Oversubscribed schools select applicants based on an admission rule. In steady-state equilibrium, I find that rankings are more informative if oversubscribed schools select more able applicants or if students care less about distance to school.

Work in Progress

Optimal Test Design with Helene Mass

Experimentation on a Content Aggregator with Tatiana Mayskaya and Arina Nikandrova