The Gendering of Job Postings in the Online Recruitment Process
Supplemental Material
The replication files for this article are available HERE.
Use this option if you have an account on informs.org or if you want to become an INFORMS member
Member LoginApril 10, 2013 - June 5, 2026
April 10, 2013 - June 5, 2026
Corresponding Author
Emilio J. Castilla
[email protected]https://orcid.org/0000-0001-8724-7054
Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142;
Hye Jin Rho
[email protected]https://orcid.org/0000-0001-8651-566X
School of Human Resources and Labor Relations, Michigan State University, East Lansing, Michigan 48824
Corresponding Author
Emilio J. Castilla
[email protected]https://orcid.org/0000-0001-8724-7054
Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142;
Hye Jin Rho
[email protected]https://orcid.org/0000-0001-8651-566X
School of Human Resources and Labor Relations, Michigan State University, East Lansing, Michigan 48824
The replication files for this article are available HERE.

Copyright © 2023, INFORMS
The authors thank Harshini Jayaram and Ethan Poskanzer for providing research assistance at the early stages of their field study. They also thank many of their colleagues at the Massachusetts Institute of Technology (MIT) for their feedback on earlier versions of this paper, specifically that of Roberto Fernandez, Thomas Kochan, Paul Osterman, Cat Turco, Susan Silbey, and Ezra Zuckerman Sivan. They thank Peter Cappelli, Matthew Bidwell, Ben A. Rissing, and Nancy Rothbard for their helpful suggestions. This research was possible because of assistance from key professionals working at TopRecruit during the data collection process for Study 1. The authors also benefited from the feedback of seminar participants in the Institute for Work and Employment Research and the Economic Sociology Working Group at MIT. The authors’ names are in alphabetical order and each contributed equally to this paper. An earlier version of this study was presented at the Academy of Management Annual Meeting; the American Sociological Association Annual Meeting; the Labor and Employment Relations Association Annual Meeting; the Wharton People and Organizations Conference; and the Wharton/Columbia Management, Analytics, and Data Conference. The views expressed here are exclusively those of the authors.
