Data and Code for: Demographic Diversity and Economic Research: Fields of Specialization and Research on Race, Ethnicity, and Inequality

Principal Investigator(s): View help for Principal Investigator(s) Francisca Antman, University of Colorado-Boulder; Kirk Doran, University of Notre Dame; Xuechao Qian, Stanford University; Bruce Weinberg, Ohio State University

Version: View help for Version V1

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Python			05/01/2024 05:18:AM
Stata			05/01/2024 05:20:AM
ADQW_ReadMe_race.pdf	application/pdf	244.9 KB	05/01/2024 01:17:AM

Project Citation:

Antman, Francisca, Doran, Kirk, Qian, Xuechao, and Weinberg, Bruce. Data and Code for: Demographic Diversity and Economic Research: Fields of Specialization and Research on Race, Ethnicity, and Inequality. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-10. https://doi.org/10.3886/E201802V1

Project Description

Summary: We use 3 decades (1991-2021) of the EconLit dissertation database to investigate the link between race/ethnicity of economic dissertation authors and research subjects. These more comprehensive data allow us to more conclusively link racial/ethnic background to economic research because dissertations are solo-authored and arguably represent the broadest possible population of economists. Our results suggest that economists differ on research topics in ways that appear related to race/ethnicity, but in perhaps unexpected ways. We also find an increase in dissertations on racial topics and inequality over time, but limited evidence that Ph.D. economists from URM groups are more likely to research racial topics once Ph.D. cohort year is held constant. Women Ph.D. economists are also more likely to write dissertations on inequality.

Funding Sources: National Science Foundation (2121120)

Scope of Project

JEL Classification:
      I23 Higher Education; Research Institutions
      J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
      O30 Innovation; Research and Development; Technological Change; Intellectual Property Rights: General

Geographic Coverage: USA

Time Period(s): 1991 – 2021

Data Type(s): program source code

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Published Versions

V1 [2024-05-10]

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