Gender-targeted job ads in the recruitment process: Facts from a Chinese job board

A-Tier
Journal: Journal of Development Economics
Year: 2020
Volume: 147
Issue: C

Authors (3)

Kuhn, Peter (not in RePEc) Shen, Kailing (Australian National University) Zhang, Shuo (not in RePEc)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We study how explicit employer requests for applicants of a particular gender enter the recruitment process on a Chinese job board, focusing on two questions: First, to what extent do employers’ requests affect the gender mix of a firm’s applicant pool? Second, how ‘hard’ are employers’ stated gender requests-- are they essential requirements, soft preferences, or something in between? Using internal data from a Chinese job board, we estimate that an explicit request for men raises men’s share in the applicant pool by 14.6 percentage points, or 26.4%; requests for women raises the female applicant share by 24.6 percentage points, or 55.0%. Men (women) who apply to gender-mismatched jobs also experience a substantial call-back penalty of 24 (43) percent. Thus, explicit gender requests do shape applicant pools, and signal a substantial but not absolute preference for the requested gender.

Technical Details

RePEc Handle
repec:eee:deveco:v:147:y:2020:i:c:s0304387820301061
Journal Field
Development
Author Count
3
Added to Database
2026-01-29