Program


Kansas Workshop in Economic Theory

May 3, 2024

Conference Program
Location: Kansas Memorial Union, Centennial Room. All times Central.

TimeSession
8:50 a.m.

Opening Remarks:

Arash Mafi, Executive Dean, College of Liberal Arts and Sciences, University of Kansas

Session 1

Chair: Richard Yi, Interim Chair, Economics, University of Kansas
9:00 a.m.

Cognition in Preferences and Choice           

Presenter: Maria Betto, Northwestern University

9:30 a.m.

How to Implement Soft Reserves           

Presenter: Bertan Turhan, Iowa State University

 

10:00 a.m.

Random Rationalizability   

Presenter: Chris Shannon, University of California at Berkeley

 

10:30 a.m.

Refreshment Break

Session 2

Chair: Tarun Sabarwal, University of Kansas
11:00 a.m.

Best of both worlds fairness in resource allocation          

Presenter: Nisarg Shah, University of Toronto

11:30 a.m.

The Core of Bayesian Persuasion

Presenter: Laura Doval, Columbia University

12:00 p.m.

Computability theory of equilibrium in models with complementarities

Presenter:Tarun Sabarwal, University of Kansas

12:30 p.m.Lunch Break
  

Session 3

Chair: Bernard Cornet, University of Kansas
1:30 p.m.

Diamond in the Rough: A Tractable Team All-Pay Auction and Group-Conscious Selection

Presenter: Iryna Topolyan, University of Cincinnati

2:00 p.m.

Too Much Information & The Death of Consensus

Presenter:  John Cremin, Columbia University

2:30 p.m.

Explaining models

Presenter: Nathan Yoder, University of Georgia

3:00 p.m.

Parimutuel Betting Markets

Presenter:  Bernard Cornet, University of Kansas

3:30 p.m.Refreshment break

Session 4

Chair:John Zhu, University of Kansas
4:00 p.m.

On the Comparative Statics of Equilibrium Points

Presenter: Rabah Amir, University of Iowa

4:30 p.m.

Recombinant Search

Presenter: Arjada Bardhi, New York University

5:00 p.m.

Interventions Against Machine-Assisted Statistical Discrimination

Presenter: John Zhu, University of Kansas

  

5:30 p.m.Closing remarks: Tarun Sabarwal, University of Kansas