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Hiring biases in online labor markets: The case of gender stereotyping
Jason Chan
, Jing Wang
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
10
Scopus citations
Overview
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Dive into the research topics of 'Hiring biases in online labor markets: The case of gender stereotyping'. Together they form a unique fingerprint.
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Keyphrases
Gender Stereotyping
100%
Online Labor Markets
100%
Hiring Bias
100%
Employers
50%
Hiring Outcomes
50%
Online Labour Platforms
50%
Geographical Boundary
25%
Gender Neutral
25%
Exponential Growth
25%
Economic Implications
25%
Endogeneity
25%
Gender Stereotypes
25%
Efficient Matching
25%
Female Workers
25%
Online Labor Marketplaces
25%
Male-dominated Occupations
25%
Category Analysis
25%
Female-dominated Occupation
25%
Social Sciences
Stereotypes
100%
Female Worker
100%
Gender Stereotyping
100%
Labor Market
100%
Practical Implication
100%
Economics, Econometrics and Finance
Labor Market
100%