Economics of Artificial Intelligence

Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb, and Catherine Tucker, Organizers

September 24-25, 2020

on Zoom.us

Conference Code of Conduct

Thursday, September 24
9:50 am
Small Group Meeting #1 (Authors and Discussants)
10:20 am
Small Group Meeting #2 (Authors and Discussants)
10:45 am
Small Group Meeting #3 (Authors and Discussants)
11:10 am
Break
11:25 am
Large Group Discussion Introductions
11:45 am
Kate Bundorf, Duke University and NBER
Maria Polyakova, Stanford University and NBER
Ming Tai-Seale, University of California, San Diego

How do Humans Interact with Algorithms? Experimental Evidence from Health Insurance
Discussants: Bo Cowgill, Columbia University
Anja Lambrecht, London Business School
12:15 pm
Dirk Bergemann, Yale University
Alessandro Bonatti, Massachusetts Institute of Technology
Tan Gan, Yale University

The Economics of Social Data
Discussants: Shoshana Vasserman, Stanford University and NBER
Kai Hao Yang, Yale University
12:45 pm
Break
1:30 pm
Sean Cao, University of Maryland
Wei Jiang, Emory University and NBER
Baozhong Yang, Georgia State University
Alan L. Zhang, Florida International University

How to Talk When a Machine is Listening: Corporate Disclosure in the Age of AI (slides)
Discussants: Kathleen Hanley, Lehigh University
Emilio Calvano, LUISS University
2:00 pm
Ashesh Rambachan, Massachusetts Institute of Technology
Jon Kleinberg, Cornell University
Jens Ludwig, University of Chicago and NBER
Sendhil Mullainathan, University of Chicago and NBER

An Economic Approach to Regulating Algorithms
Discussants: Paul Milgrom, Stanford University
Hal R. Varian, Google
2:30 pm
Stephanie Assad, Queen's University
Robert Clark, Queen's University
Daniel Ershov, Toulouse School of Economics
Lei Xu, Bank of Canada

Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market
Discussants: Emilio Calvano, LUISS University
Jeanine Miklós-Thal, University of Rochester
3:00 pm
Break
3:15 pm
Emma J. Pierson, Cornell University
David M. Cutler, Harvard University and NBER
Jure Leskovec, Stanford University
Sendhil Mullainathan, University of Chicago and NBER
Ziad Obermeyer, University of California, Berkeley and NBER

An Algorithmic Approach to Explaining Why the Underserved Feel More Pain
Discussants: Laura K. Gee, Tufts University
Anita Rao, Georgetown University
3:45 pm
Martin Beraja, Massachusetts Institute of Technology and NBER
David Y. Yang, Harvard University and NBER
Noam Yuchtman, University of Oxford

Data-Intensive Innovation and the State: Evidence from AI Firms in China
Discussants: Lee G. Branstetter, Carnegie Mellon University and NBER
Shane Greenstein, Harvard University and NBER
4:15 pm
Daron Acemoglu, Massachusetts Institute of Technology and NBER
David Autor, Massachusetts Institute of Technology and NBER
Pascual Restrepo, Yale University and NBER
Jonathon Hazell, London School of Economics

AI and Jobs: Evidence from Online Vacancies
Discussants: Betsey Stevenson, University of Michigan and NBER
Robert Seamans, New York University
4:50 pm
Adjourn
Friday, September 25
9:50 am
Small Group Meeting #1 (Authors and Discussants)
10:20 am
Small Group Meeting #2 (Authors and Discussants)
10:45 am
Small Group Meeting #3 (Authors and Discussants)
11:10 am
Break
11:25 am
Large Group Discussion Introductions
11:45 am
Katherine A. Stapleton, University of Oxford
Michael Webb, Stanford University

Automation, Trade and Multinational Activity: Micro Evidence from Spain
Discussants: Daniel Trefler, University of Toronto and NBER
Daniel Rock, University of Pennsylvania
12:15 pm
Debraj Ray, New York University and NBER
Dilip Mookherjee, Boston University and NBER

Growth, Automation and the Long Run Share of Labor (slides)
Discussants: Jeffrey D. Sachs, Columbia University and NBER
Joshua S. Gans, University of Toronto and NBER
12:45 pm
Break
1:30 pm
Laura Blattner, Stanford University
Scott T. Nelson, University of Chicago

How Costly is Noise? Data and Disparities in the US Mortgage Market
Discussants: Lisa D. Cook, Board of Governors of the Federal Reserve System
Stefania Albanesi, University of Miami and NBER
2:00 pm
Danielle Li, Massachusetts Institute of Technology and NBER
Lindsey R. Raymond, Massachusetts Institute of Technology
Peter Bergman, University of Texas at Austin and NBER

Hiring as Exploration
Discussants: Susan Athey, Stanford University and NBER
Daniel Björkegren, Columbia University
2:30 pm
Stephan T. Zheng, Salesforce Research
Alexander Trott, Salesforce Research
Sunil Srinivasa, Salesforce Research
Nikhil Naik, Massachusetts Institute of Technology
Melvin Gruesbeck, Salesforce Research
David Parkes, Harvard University
Richard Socher

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
Discussants: Steven Hamilton, The George Washington University
Roxana Mihet, HEC Lausanne
3:00 pm
Break
3:15 pm
Anton Korinek, University of Virginia and NBER
Joseph E. Stiglitz, Columbia University and NBER

Steering Technological Progress
Discussants: Patrick Francois, University of British Columbia
Matthew Mitchell, University of Toronto
3:45 pm
Simona Abis, University of Colorado Boulder
Laura Veldkamp, Columbia University and NBER

The Changing Economics of Knowledge Production (slides)
Discussants: Erik Brynjolfsson, Stanford University and NBER
Alberto Galasso, University of Toronto and NBER
4:20 pm
Adjourn
Friday, March 26
1:00 pm
Danielle Li, Massachusetts Institute of Technology and NBER
Lindsey R. Raymond, Massachusetts Institute of Technology
Peter Bergman, University of Texas at Austin and NBER

Hiring as Exploration