[CS] FW: UChicago Booth ESC Workshop- 3/30, Weijie Su, 1:20pm

[Jennings-Quist, Megan]

Good Afternoon,

In case anyone is interested in joining us at UChicago Booth for visiting speaker Weijie Su's, of UPenn Wharton, seminar talk tomorrow. Please see information below.

Thank you!

From: Jennings-Quist, Megan
Sent: Wednesday, March 29, 2023 10:03 AM
To: econometricsandstatisticscolloquium at lists.chicagobooth.edu; econ-students at lists.chicagobooth.edu
Subject: FW: ESC Workshop- 3/30, Weijie Su, 1:20pm

Good Morning,

This is a reminder that the next ESC Workshop will take place tomorrow, Thursday, March 30th at 1:20 p.m. in Harper 3B. Weijie Su, of UPenn Wharton, will be presenting: "A Truthful Owner-Assisted Scoring Mechanism." Please see below for more information.

We look forward to seeing you then!

Best,
Megan

From: Jennings-Quist, Megan
Sent: Monday, March 27, 2023 5:03 PM
To: econometricsandstatisticscolloquium at lists.chicagobooth.edu<mailto:econometricsandstatisticscolloquium at lists.chicagobooth.edu>; econ-students at lists.chicagobooth.edu<mailto:econ-students at lists.chicagobooth.edu>
Subject: ESC Workshop- 3/30, Weijie Su, 1:20pm

Good Afternoon,

The next Econometrics and Statistics Colloquium Spring Workshop<https://www.chicagobooth.edu/faculty/research-workshops/econometrics-and-statistics> seminar will take place on Thursday, March 30th at 1:20 p.m. in Harper 3B.

Weijie Su, of UPenn Wharton, will present "A Truthful Owner-Assisted Scoring Mechanism." Please see the paper here<https://arxiv.org/pdf/2206.08149.pdf>, and the abstract is below.

Abstract:

Alice (owner) has knowledge of the underlying quality of her items measured in grades. Given the noisy grades provided by an independent party, can Bob (appraiser) obtain accurate estimates of the ground-truth grades of the items by asking Alice a question about the grades? We address this when the payoff to Alice is additive convex utility over all her items. We establish that if Alice has to truthfully answer the question so that her payoff is maximized, the question must be formulated as pairwise comparisons between her items. Next, we prove that if Alice is required to provide a ranking of her items, which is the most fine-grained question via pairwise comparisons, she would be truthful. By incorporating the ground-truth ranking, we show that Bob can obtain an estimator with the optimal squared error in certain regimes based on any possible way of truthful information elicitation. Moreover, the estimated grades are substantially more accurate than the raw grades when the number of items is large and the raw grades are very noisy. Finally, we conclude the paper with several extensions and some refinements for practical considerations.

We look forward to seeing you then!

Warmly,
Megan





Megan Jennings Quist
Senior Assistant Director, Faculty Support
Faculty Services

The University of Chicago
Booth School of Business
5807 South Woodlawn Avenue
Suite 448, Office M
Chicago, Illinois 60637-1610

Phone: 773-834-4554


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