Professor of Economics, University of Minnesota

Research Consultant, FRB Minneapolis

Research Associate, National Bureau of Economic Research

Director, MEBDI (Minnesota Economics Big Data Institute)

RESEARCH UPDATES

NEW! FIRST DRAFT: Taxing Wealth and Capital Income when Returns are Heterogeneous (with Kambourov, Kuruscu, and Ocampo), March 2022.

NEW! FIRST DRAFT: A Tractable Income Process for Business Cycle Analysis  (with McKay and Ryan), February 2022. 

Offshore Profit Shifting and Aggregate Measurement: Balance of Payments, Foreign Investment, Productivity, and the Labor Share  (with Mataloni, Rassier, Ruhl), February 2022,  American Economic Review, forthcoming.

The Global Income Dynamics Project: An Overview and Some New Insights, Slides of Keynote Speech at OECD LinkEED Launch Event, December, 2021.

Lifetime Incomes in the United States over Six Decades(with Kaplan, Song, Weidner), 2021, AEJ: Applied, forthcoming.

What Do Data on Millions of U.S. Workers Reveal About Life-Cycle Earnings Dynamics?(with Karahan, Ozkan, Song), Econometrica, September 2021.

Skewed Business Cycles (with Bloom, Salgado), April  2020, R&R at QJE .

Use It or Lose It: Efficiency Gains from Wealth Taxation (with Kambourov, Kuruscu, Ocampo, Chen), September 2019, R&R at QJE.

The Great Micro Moderation  (w/ Bloom, Pistaferri, Salgado, Sabelhous, Song), November 2017.

The Glass Ceiling and The Paper Floor: Changing Gender Composition of Top Earners Since the 1980s  (with Kaplan, Song, Weidner), NBER Macroannual 2020.

Multidimensional Skill Mismatch  (with Wiczer, Kuruscu, Tanaka), 2020, AEJ: Macro.

Worker Betas: Five Facts about Systematic Earnings Risk(with Schulhofer-Wohl, Song, Yogo), AER P&P, May 2017.   [Click here for Longer Working Paper Version + Appendix

Updated Slides: Income Inequality and Income Risk: Old Myths vs. New Facts,  WAMS Keynote Lecture, August 2016.

Computer Code for TikTak fully parallelizable global optimizer posted on GitHubLink

Benchmarking TikTak and other global optimizers: Paper

 

MEBDI is a research institute in the Department of Economics at the University of Minnesota that focuses on applied research in economics and other social sciences that harnesses the power of big data under the guidance economic principles.