Economics of Artificial Intelligence
Organized by Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb, and Catherine Tucker
Supported by the Alfred P. Sloan Foundation and the Creative Destruction Lab
September 24-25, 2020
on Zoom.us
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

How do Humans Interact with Algorithms? Experimental Evidence from Health Insurance

Kate Bundorf, Duke University and NBER
Maria Polyakova, Stanford University and NBER
Ming Tai-Seale, University of California, San Diego

Discussants:
Bo Cowgill, Columbia University
Anja Lambrecht, London Business School
12:15 pm

The Economics of Social Data

Dirk Bergemann, Yale University
Alessandro Bonatti, Massachusetts Institute of Technology
Tan Gan, Yale University

Discussants:
Shoshana Vasserman, Stanford University and NBER
Kai Hao Yang, Yale University
12:45 pm
Break
1:30 pm

How to Talk When a Machine is Listening: Corporate Disclosure in the Age of AI (slides)

Sean Cao, University of Maryland, College Park
Wei Jiang, Emory University and NBER
Baozhong Yang, Georgia State University
Alan L. Zhang, Florida International University

Discussants:
Kathleen Hanley, Lehigh University
Emilio Calvano, LUISS University
2:00 pm

An Economic Approach to Regulating Algorithms

Ashesh Rambachan, Massachusetts Institute of Technology
Jon Kleinberg, Cornell University
Jens Ludwig, University of Chicago and NBER
Sendhil Mullainathan, Massachusetts Institute of Technology and NBER

Discussants:
Paul Milgrom, Stanford University
Hal R. Varian, Google
2:30 pm

Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market

Stephanie Assad, Queen's University
Robert Clark, Queen's University
Daniel Ershov, Toulouse School of Economics
Lei Xu, Bank of Canada

Discussants:
Emilio Calvano, LUISS University
Jeanine Miklós-Thal, University of Rochester
3:00 pm
Break
3:15 pm

An Algorithmic Approach to Explaining Why the Underserved Feel More Pain

Emma J. Pierson, Cornell University
David M. Cutler, Harvard University and NBER
Jure Leskovec, Stanford University
Sendhil Mullainathan, Massachusetts Institute of Technology and NBER
Ziad Obermeyer, University of California, Berkeley and NBER

Discussants:
Laura K. Gee, Tufts University
Anita Rao, Georgetown University
3:45 pm

Data-Intensive Innovation and the State: Evidence from AI Firms in China

Martin Beraja, University of California, Berkeley and NBER
David Y. Yang, Harvard University and NBER
Noam Yuchtman, University of Oxford

Discussants:
Lee G. Branstetter, Carnegie Mellon University and NBER
Shane Greenstein, Harvard University and NBER
4:15 pm

AI and Jobs: Evidence from Online Vacancies

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 and Political Science (LSE)

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

Automation, Trade and Multinational Activity: Micro Evidence from Spain

Katherine A. Stapleton, University of Oxford
Michael Webb, Stanford University

Discussants:
Daniel Trefler, University of Toronto and NBER
Daniel Rock, University of Pennsylvania
12:15 pm

Growth, Automation and the Long Run Share of Labor (slides)

Debraj Ray, New York University and NBER
Dilip Mookherjee, Boston University and NBER

Discussants:
Jeffrey D. Sachs, Columbia University and NBER
Joshua S. Gans, University of Toronto and NBER
12:45 pm
Break
1:30 pm

How Costly is Noise? Data and Disparities in the US Mortgage Market

Laura Blattner, Stanford University
Scott T. Nelson, University of Chicago

Discussants:
Lisa D. Cook, Board of Governors of the Federal Reserve System
Stefania Albanesi, University of Miami and NBER
2:00 pm

Hiring as Exploration

Danielle Li, Massachusetts Institute of Technology and NBER
Lindsey R. Raymond, Microsoft Research
Peter Bergman, University of Texas at Austin and NBER

Discussants:
Susan Athey, Stanford University and NBER
Daniel Björkegren, Columbia University
2:30 pm

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

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

Discussants:
Steven Hamilton, The George Washington University
Roxana Mihet, HEC Lausanne
3:00 pm
Break
3:15 pm

Steering Technological Progress

Anton Korinek, University of Virginia and NBER
Joseph E. Stiglitz, Columbia University and NBER

Discussants:
Patrick Francois, University of British Columbia
Matthew Mitchell, University of Toronto
3:45 pm

The Changing Economics of Knowledge Production (slides)

Simona Abis, University of Colorado Boulder
Laura Veldkamp, Columbia University and NBER

Discussants:
Erik Brynjolfsson, Stanford University and NBER
Alberto Galasso, University of Toronto and NBER
4:20 pm
Adjourn
Friday, March 26
1:00 pm

Hiring as Exploration

Danielle Li, Massachusetts Institute of Technology and NBER
Lindsey R. Raymond, Microsoft Research
Peter Bergman, University of Texas at Austin and NBER