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

How do Humans Interact with Algorithms? Experimental Evidence from Health Insurance
Discussants: Bo Cowgill, Columbia University
Anja Lambrecht, London Business School
12:15 pm

The Economics of Social Data
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)
Discussants: Kathleen Hanley, Lehigh University
Emilio Calvano, LUISS University
2:00 pm

An Economic Approach to Regulating Algorithms
Discussants: Paul Milgrom, Stanford University
Hal R. Varian, Google
2:30 pm

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

An Algorithmic Approach to Explaining Why the Underserved Feel More Pain
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
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
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
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)
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
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
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
Discussants: Steven Hamilton, The George Washington University
Roxana Mihet, HEC Lausanne
3:00 pm
Break
3:15 pm

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

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

Hiring as Exploration