Data and code for: Breaking Gender Barriers: Experimental Evidence on Men in Pink-Collar Jobs

Principal Investigator(s): View help for Principal Investigator(s) Alexia Delfino, Bocconi University

Name	File Type	Size	Last Modified
CODE			10/31/2023 11:24:AM
PUBLIC DATA			10/31/2023 11:24:AM
SURVEY INSTRUMENTS			10/31/2023 12:17:PM
README Delfino - Breaking Gender Barriers.pdf	application/pdf	1.8 MB	03/04/2024 12:36:AM
aer_master.do	text/plain	6.3 KB	10/31/2023 07:24:AM

Project Citation:

Delfino, Alexia. Data and code for: Breaking Gender Barriers: Experimental Evidence on Men in Pink-Collar Jobs. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-14. https://doi.org/10.3886/E194453V1

Project Description

Summary: I embed a field experiment within the UK-wide recruitment program for social workers to analyze barriers hindering men's entry into traditionally female-dominated sectors. The experimental design exogenously varies the content of recruitment messages in two ways: by showing photographs of a current worker (randomized to be male or female) and by providing information on the share of workers who received high-performance evaluations in a past year (randomized to be higher or lower). I find that including a male photograph has no impact on men's likelihood of applying. In contrast, presenting information about a lower share of high evaluations encourages men to apply and enables the employer to hire and retain more talented men. The impact of the informational intervention remains positive for the employer when also accounting for its effects on female applicants and hires.

Scope of Project

Subject Terms: field experiments; gender identity; information; hiring

JEL Classification:
      C93 Field Experiments
      J16 Economics of Gender; Non-labor Discrimination
      M50 Personnel Economics: General

Geographic Coverage: UK

Time Period(s): 2017 – 2020 (Organizational data); 2018 – 2023 (Survey data)

Data Type(s): experimental data; survey data

Collection Notes: Some data used in the paper cover longer time periods (e.g., LFS data cover 1990-2018 and CPS data cover 1962-2018). The paper also uses UK census data from 2011.

Methodology

Unit(s) of Observation: individual

Related Publications

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Published Versions

V1 [2024-05-14]

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DDI 2.5

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