The paper presented in this Virtual Market Design Seminar characterize a receiver-optimal test when manipulations are possible in the form of type falsification. Optimal design exploits the following manipulator trade-off: while falsification may lead to better grades, it devalues their meaning. The authors show that optimal tests can be derived among falsification-proof ones. Their optimal test has a single ‘failing’ grade, and a continuum of ‘passing’ grades. It makes the manipulator indifferent acrossall moderate levels of falsification. Good types never fail, but bad types may pass. An optimal test delivers at least half of the full-information value to the receiver. A threegrade optimal test also performs well.

Speaker

Vasiliki Skreta

The University of Texas at Austin, USA, and University College London, UK

If you would like to participate and to stay up to date about upcoming presentations, please join our mailing list. You will receive the Zoom link for each talk.

The seminar presentations are scheduled to last 60 minutes: 45 minutes of presentation and 15 minutes for both comments and questions.

We will experiment with various methods for questions: A moderator collects questions during the presentation. Speakers will be encouraged to pause every few slides to allow a gap for questions. The moderator will relay clarification questions or unmute selectively during the talk. Remaining questions will be collected and asked in the discussion period.

Just like with other initiated virtual seminars, these rules are subject to change as we gain experience with how to handle the seminar most efficiently.

The idea for this format was borrowed from the Chamberlain Seminar. Other online seminars can be found at the AEA website.

The Virtual Market Design Seminar is an open online alternative to seminars cancelled due to the COVID-19. Seminars will cover all fields from market design. The seminar presentations are scheduled to last 60 minutes, after 45 minutes of presentation, 15 minutes are for both comments and question.

Date

13.07.2020 | 16:00 - 17:00 (CET)

Event Location

Online


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