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Gender Sorting and the Glass Ceiling in High-Tech Firms

Bibliographic Data

ID4785286
AuthorsRoberto M Fernandez (0000-0002-4126-4980, HEC Montréal, corresponding author), Campero (0000-0001-8795-8972, Roberto M. Fernandez is the William F. Pounds Professor of Management at the MIT Sloan School of Management. Santiago Campero is an Assistant Professor at HEC Montréal.), Santiago Campero (MitSloanSchoolOfManagement.SantiagoCamperoIsAnAssistantProfessorAtHecMontréal)
Year2017
Volume70
Issue1
Pages73-104
Publication date2017-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIndustrial and Labor Relations Review (JOURNAL)
Journal identifiersISSN: 0019-7939 • E-ISSN: 2162-271X
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0019793916668875
OpenAlexW2510857969
LanguageEN
Citations received26
References cited69

With few exceptions, studies have conceived of the glass ceiling as reflecting internal promotion biases. In this article, the authors argue that glass ceiling patterns can also be the result of external recruitment and hiring processes. Using data on people applying by means of the Internet for jobs at 441 small- and medium-sized high-tech firms, they find evidence that the glass ceiling is produced by both internal and external hiring processes. On the supply side, females are sorted into lower-level job queues than males. On the demand side, screening biases against women also are evident, but a series of "what if" simulations suggest that demand-side screening processes play a comparatively minor role in producing the glass ceiling pattern. These results suggest that bias remediation policies designed to equalize gender differences in hiring chances are likely to be less effective than recruitment and outreach policies designed to improve gender disparities in candidate pools

Business · Ceiling (cloud) · Demographic economics · Economic growth · Economics · Glass ceiling · Outreach · Political science · Promotion (chess) · Cultural Industries and Urban Development · Engineering · Gender Diversity and Inequality · Labor market dynamics and wage inequality

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Unique citing works26
Citations per year2,89
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 23

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