NBER Economics of Artificial Intelligence

Toronto, 24th - 25th September 2020

11:45 am

Kate Bundorf, Stanford University and NBER
Maria Polyakova, Stanford University and NBER
Ming Tai-Seale, University of California San DiegoHow 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 UniversityThe Economics of Social Data

Discussants:

Shoshana Vasserman, Stanford University
Kai Hao Yang, Yale University

1:30 pm

Sean Cao, Georgia State University
Wei Jiang, Columbia University and NBER
Baozhong Yang, Georgia State University
Alan L. Zhang, Georgia State UniversityHow to Talk When a Machine is Listening: Corporate Disclosure in the Age of AI (slides)

Discussants:

Kathleen Weiss Hanley, Lehigh University
Emilio Calvano, University of Bologna

2:00 pm

Ashesh Rambachan, Harvard University
Jon Kleinberg, Cornell University
Jens Ludwig, University of Chicago and NBER
Sendhil Mullainathan, University of Chicago and NBERAn 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 CanadaAlgorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market

Discussants:

Emilio Calvano, University of Bologna
Jeanine Miklos-Thal, University of Rochester

3:15 pm

Emma J. Pierson, Stanford University
David M. Cutler, Harvard University and NBER
Jure Leskovec, Stanford University
Sendhil Mullainathan, University of Chicago and NBER
Ziad Obermeyer, University of California at BerkeleyAn Algorithmic Approach to Explaining Why the Underserved Feel More Pain

Discussants:

Laura K. Gee, Tufts University
Anita Rao, University of Chicago

3:45 pm

Martin Beraja, Massachusetts Institute of Technology and NBER
David Y. Yang, Harvard University and NBER
Noam Yuchtman, London School of Economics and NBERData-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, Boston University and NBER
Jonathon Hazell, Massachusetts Institute of TechnologyAI and Jobs: Evidence from Online Vacancies

Discussants:

Betsey Stevenson, University of Michigan and NBER
Robert Seamans, New York University

Friday, September 25

11:45 am

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

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, Michigan State University and NBER
Stefania Albanesi, University of Pittsburgh and NBER

2:00 pm

Danielle Li, Massachusetts Institute of Technology and NBER
Lindsey R. Raymond, Massachusetts Institute of Technology
Peter Bergman, Columbia University and NBERHiring as Exploration

Discussants:

Susan Athey, Stanford University and NBER
Daniel Bjorkegren, Brown 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, Salesforce ResearchThe AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Discussants:

Steven Hamilton, George Washington University
Roxana Mihet, HEC Lausanne

3:15 pm

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

Discussants:

Patrick Francois, University of British Columbia
Matthew Mitchell, University of Toronto

3:45 pm

Simona Abis, Columbia University
Laura Veldkamp, Columbia University and NBERThe Changing Economics of Knowledge Production (slides)

Discussants:

Erik Brynjolfsson, Stanford University and NBER
Alberto Galasso, University of Toronto and NBER