Bradley Setzler

Bradley Setzler

Assistant Professor of Economics

Pennsylvania State University

Assistant Professor of Economics, Pennsylvania State University.

Links: Research | CV |


Interests: Applied micro centered around labor economics and extending into international, IO, and public economics. Specific interests:

  • labor market structure, wage inequality
  • monopsony, rent sharing, firm premiums
  • skill premiums, skill-biased technology
  • labor demand in production/trade networks
  • job subsidies, employment insurance


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

Revised and resubmitted to the Journal of Labor Economics in January 2022

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

Published by the American Economic Review in January 2022.

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

(Job market paper)
Published by the Quarterly Journal of Economics in August 2021.
My presentations: NBER Labor Studies, NBER Trade, EIIT, ASSA, UEA, UChicago, Penn State

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

Revised and resubmitted to Econometrica in June 2021.
My presentations: NBER Summer Institute (Labor Studies), Stanford (SITE Labor Markets), MIT (Super Applied Micro seminar joint with Dev, IO, Labor, and Trade), UChicago, UToronto/Bank of Canada

Disability Benefits, Consumption Insurance, and Household Labor Supply

Published by the American Economic Review in July 2019.



R package and guide for performing event studies with heterogeneous dynamic effects.


R package for automatically producing highly-customized LaTeX tables.

Public Data Sets

State Corporate Tax Rates

2000-2020 top corporate tax rates by state. Extends the data set of Giroud & Rauh (2020) which ends in 2012.

Census CBP

2001-2017 Census CBP data on employment, payrolls, and establishments at various levels of aggregation (e.g., industry-by-county).

Other Resources

Computer Programming Tutorials

  • Learn to program in R: my RA training notes with package development instructions and quizzes.
  • Learn to program in Julia: my lecture notes from grad school have been used by over 50,000 people since I posted them in 2014 (a bit out of date).