First Foot Forward: A Two-Step Econometric Method for Parsing and Estimating the Impacts of Multiple Identities

65 Pages Posted: 1 Aug 2022 Last revised: 6 Aug 2022

See all articles by Andrew Hanks

Andrew Hanks

The Ohio State University

Kevin Kniffin

Cornell University - Charles H. Dyson School of Applied Economics and Management

Xuechao Qian

Stanford Graduate School of Business

Bo Wang

Nankai University School of Finance

Bruce A. Weinberg

Ohio State University (OSU) - Economics; IZA Institute of Labor Economics; National Bureau of Economic Research (NBER)

Date Written: July 2022

Abstract

Marketing and strategy researchers have often studied how organizations navigate multiple identities in relation to category spanning but extant literature pays less attention to understanding how individuals do so. Moreover, current econometric approaches only scratch the surface with respect to addressing the impact of multiple identities in professional settings. As a model domain to study labor market returns when individuals have more than one identity, we focus on interdisciplinary dissertators in the United States since evidence shows clear uptrends in dissertators engaging multiple professional identities and unclear trends in their outcomes. Our novel estimation method leverages a two-step process to characterize salaries of interdisciplinary dissertators as functions of the identities (academic fields) they acquire as graduate students. We estimate a first-stage regression of log earnings for monodisciplinarians on field dummies and respondent characteristics. After capturing the estimated field coefficients, we then regress log earnings for interdisciplinarians on linear and non-linear functions of these coefficients. Our estimates robustly reject the hypothesis that interdisciplinarians receive a salary premium. We also find evidence that the academic market, but not other employment sectors, particularly compensates researchers based on their primary discipline, an outcome that challenges emphases on interdisciplinarity. While our findings for interdisciplinarians point to the primary identity holding predominant importance for doctoral graduates in the United States, our two-step method provides a framework for parsing and estimating the varied impacts of multiple identities across a wide range of contexts.

Suggested Citation

Hanks, Andrew and Kniffin, Kevin and Qian, Xuechao and Wang, Bo and Weinberg, Bruce A., First Foot Forward: A Two-Step Econometric Method for Parsing and Estimating the Impacts of Multiple Identities (July 2022). NBER Working Paper No. w30293, Available at SSRN: https://ssrn.com/abstract=4177540

Andrew Hanks (Contact Author)

The Ohio State University ( email )

130A Campbell Hall
1787 Neil Ave.
Columbus, OH OH 43210
United States

Kevin Kniffin

Cornell University - Charles H. Dyson School of Applied Economics and Management ( email )

Ithaca, NY
United States

Xuechao Qian

Stanford Graduate School of Business ( email )

655 Knight Way
Stanford, 94305
United States

Bo Wang

Nankai University School of Finance ( email )

94 Weijin Road
Tianjin, 300071
China
18581011773 (Phone)

HOME PAGE: http://bowang16.weebly.com/

Bruce A. Weinberg

Ohio State University (OSU) - Economics ( email )

410 Arps Hall
1945 N. High St.
Columbus, OH 43210-1172
United States
614-292-6701 (Phone)
614-292-3906 (Fax)

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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