Conferences.

Tax Policy and the Economy

An NBER conference on Tax Policy and the Economy took place September 23 online. Research Associate Robert A. Moffitt of Johns Hopkins University organized the meeting, which was supported by Lynde and Harry Bradley Foundation Grant 20211142. These researchers' papers were presented and discussed:

* Natasha Sarin, University of Pennsylvania; Lawrence H. Summers, Harvard University and NBER; Owen M. Zidar,

Princeton University and NBER; and Eric Zwick, University of Chicago and NBER, "Rethinking How We Score Capital Gains Tax Reform" (NBER Working Paper 28362)

* Nora E. Gordon, Georgetown University and NBER, and Sarah J. Reber, University of California, Los Angeles and NBER, "Federal Support for Elementary and Secondary Education in the COVID-19 Recession and Beyond" (NBER Working Paper 27550)

* Jacob Goldin, Stanford University and NBER; Elaine Maag, The Urban Institute; and Katherine Michelmore,

University of Michigan, "Designing a Child Allowance for the United States"

* Alan J. Auerbach, University of California, Berkeley and NBER, and William Gale, The Brookings Institution, "Tax Policy Design with Low Interest Rates"

* Ethan Rouen, Harvard University; Suresh Nallareddy, Duke University; and Juan Carlos Suarez Serrato, Duke University and NBER, "Do Corporate Tax Cuts Increase Income Inequality?" (NBER Working Paper 24598)

Summaries of these papers are at https://www.nber.org/conferences/tax-policy-and-economy-2021

Economics of Artificial Intelligence

An NBER conference on the Economics of Artificial Intelligence took place September 23-24 online. Research Associates Ajay K. Agrawal, Joshua S. Gans, and Avi Goldfarb of the University of Toronto and Catherine Tucker of the Massachusetts Institute of Technology organized the meeting, which was supported by Alfred P. Sloan Foundation Grant G-2018-10104. These researchers' papers were presented and discussed:

* Emilio Calvano, Vincenzo Denicolo, and Sergio Pastorello, University of Bologna, and Giacomo Calzolari, European University Institute, "Product Recommendations and Market Concentration"

* John Asker, University of California, Los Angeles and NBER; Ariel Pakes, Harvard University and NBER; and Chaim Fershtman, Tel Aviv University, "Artificial Intelligence and Pricing: The Impact of Algorithm Design" (NBER Working Paper 28535)

* Emily Aiken and Joshua Blumenstock, University of California, Berkeley; Suzanne Bellue, University of Mannheim; and Dean Karlan and Christopher R. Udry, Northwestern University and NBER, "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance" (NBER Working Paper 29070)

* Thomas W. Bates and Jessie Jiaxu Wang, Arizona State University, and Fangfang Du, California State University, Fullerton, "Workplace Automation and Corporate Financial Policies"

* Sukwoong Choi, Massachusetts Institute of Technology; Namil Kim, Harbin Institute of Technology; Junsik Kim, KAIST; and Hyo Kang, University of Southern California, "How Does AI Improve Human Decision-Making? Evidence from the Al-Powered Go Program"

* Ruyu Chen and Chris Forman, Cornell University, and Natarajan Balasubramanian, Syracuse University, "How Does Labor Mobility Affect Business Adoption of a GPT? The Case of Machine Learning"

* Sean Cao and Baozhong Yang, Georgia State University; Wei Jiang, Columbia University and NBER; and Junbo L. Wang, Louisiana State University, "From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses" (NBER Working Paper 28800)

* Yiding Feng, Jason Hartline, and Aleck Johnsen, Northwestern University; Ronen Gradwohl, Ariel University; and Denis Nekipelov, University of Virginia, "Bias-Variance Games"

* David J. Deming, Harvard University and NBER, "The Growing Importance of Decision-Making on the Job" (NBER Working Paper 28733)

* Jaehan Cho and Hanhin Kim, Korea Institute for Industrial Economics and Trade; Timothy J. DeStefano, Harvard University; and Jin Paik, Laboratory for Innovation Science, "What Determines AI Adoption?"

* Philippe Aghion and Xavier Jaravel, London School of Economics; Celine Antonin, Sciences Po; and Simon Bunel, Banque de France, "What Are the Labor and Product Market Effects of Automation? New Evidence from France"

* Yizhou Jin, University of Toronto, and Zhengyun Sun, Harvard University, "AI Training for Online Entrepreneurs: An Experiment with Two Million New Sellers on an E-Commerce Platform"

* Gordon H. Hanson, Harvard University and NBER, "Immigration and Regional Specialization in AI" (NBER Working Paper 28671)

* James Bessen, Boston University; Iain M. Cockburn, Boston University and NBER; and Jennifer Hunt, Rutgers University and NBER, "Is Distance from Innovation a Barrier to the Adoption of Artificial Intelligence?"

* Alexander L. Copestake, Ashley Pople, and Katherine A. Stapleton, University of Oxford, "AI, Firms and Wages: Evidence from India"

Summaries of these papers are at https://www.nber.org/conferences/economics-artiflcial-intelligence-conference-fall-2021

Business Taxation in a Federal System

An NBER conference on Business Taxation in a Federal System took place October 7 online. Research Associates Joshua Rauh of Stanford University and Juan Carlos Suarez Serrato of Duke University organized the meeting, which was supported by Smith Richardson Foundation Grant 2017-1532. These researchers' papers were presented and discussed:

* Felipe Lobel, University of California, Berkeley, "The Incidence of Payroll Taxation"

* Katarzyna A. Bilicka, Utah State University and NBER, and Daniela Scur, Cornell University, "Organizational Capacity and Profit Shifting" (NBER Working Paper 29225)

* Paul Michael Kindsgrab, University of Michigan, "The Effects of Local Business Taxes on Establishment Entry and Exit"

* Audrey Guo, Santa Clara University, "Payroll Tax Incidence: Evidence from Unemployment Insurance"

* Eric C. Ohrn, Grinnell College; Daniel G. Garrett, University of Pennsylvania; and Juan Carlos Suarez Serrato, "Effects of International Tax Provisions on Local Labor Markets"

* Sebastian Siegloch, University of Mannheim; Nils Wehrhofer, Bundesbank Research...