Bradley Setzler

Bradley Setzler

Assistant Professor of Economics

Pennsylvania State University & NBER

The Strumpf Early Career Assistant Professor of Economics, Pennsylvania State University.

Faculty Research Fellow in Labor Studies, NBER.

Links: Research | CV | bradley.setzler@gmail.com

Fields:

  • primary: labor economics
  • secondary: industrial organization, international trade

Specific topics of interest:

  • labor market structure, wage inequality
  • monopsony, rent sharing, firm premiums
  • skill premiums, skill-biased technology
  • labor demand in production/trade networks
  • persistence of job loss, regional decline

Publications

Stephane Bonhomme, Kerstin Holzheu, Thibaut Lamadon, Elena Manresa, Magne Mogstad, Bradley Setzler
April 2023

How Much Should we Trust Estimates of Firm Effects and Worker Sorting?

Journal of Labor Economics, 2023. (Lead article.)

PDF JOLE Appendix NBER (longer version) Statistical Extracts
Thibaut Lamadon, Magne Mogstad, Bradley Setzler
January 2022

Imperfect Competition, Compensating Differentials, and Rent Sharing in the U.S. Labor Market

American Economic Review, 2022.

PDF AER NBER AER Appendix Supplement: Firm Effects Replication Kit Statistical Extracts
Bradley Setzler, Felix Tintelnot
August 2021

The Effects of Foreign Multinationals on Workers and Firms in the United States

Quarterly Journal of Economics, 2021. (Job market paper.)

PDF QJE Appendix NBER Feenstra-Taylor textbook Twitter Summary The Economist Microeconomic Insights
David Autor, Andreas Kostol, Magne Mogstad, Bradley Setzler
July 2019

Disability Benefits, Consumption Insurance, and Household Labor Supply

American Economic Review, 2019.

PDF AER NBER (old)

Working Papers

Kory Kroft, Yao Luo, Magne Mogstad, Bradley Setzler
April 2022

Imperfect Competition and Rents in Labor and Product Markets: The Case of the Construction Industry

Revision requested by American Economic Review in February 2023.
My presentations: NBER SI-Labor, MIT, NBER IO, UBC, LSE, Stanford-SITE, Cornell, Maryland, UChicago, Penn State, CESifo, UToronto/Bank of Canada, Texas A&M

PDF NBER Slides In Card's Nobel Prize citation

Resources

Public Lectures

Advice

Software Packages

  • textab: construct and compile highly-customized LaTeX tables in R
  • DiD for Big Data: fast and big-data-friendly diff-in-diffs in R

Miscellaneous

Disclaimer: Materials provided are for Educational Use Only. All articles are the sole copyright of their respective publishers.