Double Disadvantage: How Gender and Residential Location Shape Hiring Outcomes in Pakistan's IT Sector
Sana Khalil

TL;DR
This study reveals that in Pakistan's IT sector, gender and residential socioeconomic status significantly influence hiring outcomes, with men and high-income area candidates receiving more callbacks, even without explicit biases in job ads.
Contribution
It provides empirical evidence of implicit discrimination based on gender and neighborhood in Pakistan's IT hiring practices, highlighting the persistence of biases without explicit preferences.
Findings
Men receive more callbacks than women for IT jobs.
Candidates from high-income neighborhoods get 45% more callbacks.
Implicit biases linked to gender and residential background influence hiring.
Abstract
This paper examines how gender and residential socioeconomic status shape hiring outcomes in the information technology sector using a field experiment from the city of Karachi, Pakistan. Employers in Pakistan can openly state preferences regarding gender, residential location, and other characteristics, but the majority in the information technology sector choose not to do so. This creates an opportunity to examine whether discrimination persists when such biases are not explicitly stated. An analysis of explicitly gender-targeted job ads shows that men are preferred over women across most occupations, even in traditionally pink-collar roles. Moreover, results from a resume audit experiment, submitting 2,032 applications to 508 full-time job openings, show that men receive more callbacks for job interviews than women, even in the absence of explicit gender preferences in job ads. The…
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Taxonomy
TopicsNames, Identity, and Discrimination Research · Labor market dynamics and wage inequality · Work-Family Balance Challenges
