Data and Code for Shocking Offers: Gender, Wage Inequality, and Recessions in Online Labor Market
Principal Investigator(s): View help for Principal Investigator(s) Belinda Archibong, Barnard College, Columbia University; Peter Blair Henry , Stanford University
Version: View help for Version V1
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AEA data | 05/02/2024 09:39:PM |
Project Citation:
Archibong, Belinda, and Blair Henry , Peter . Data and Code for Shocking Offers: Gender, Wage Inequality, and Recessions in Online Labor Market. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-17. https://doi.org/10.3886/E202001V1
Project Description
Summary:
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Using data from the largest online job portal in Nigeria, we document: (a) gender differences in salary offers for jobs, and (b) the response of (a) to recessions. Jobs in industries where the number of job applicants skews female, offer lower starting salaries than jobs in industries where applicants skew male. During Nigeria’s 2016 recession, overall job applications rose, but applications to jobs in industries that skew male increased more than applications to jobs in industries that skew female. Salary offers fell sharply for jobs in male-skewed industries compared to female-skewed industries. In accordance with this relative shift in applications, in 2016, the salary-offer gender gap almost disappeared.
Funding Sources:
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PEDL;
J-PAL;
IZA
Scope of Project
Subject Terms:
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Recession;
Wage;
Gender;
Employment;
Bias;
ICT
JEL Classification:
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J16 Economics of Gender; Non-labor Discrimination
J64 Unemployment: Models, Duration, Incidence, and Job Search
J71 Labor Discrimination
J78 Labor Discrimination: Public Policy
L86 Information and Internet Services; Computer Software
O12 Microeconomic Analyses of Economic Development
J16 Economics of Gender; Non-labor Discrimination
J64 Unemployment: Models, Duration, Incidence, and Job Search
J71 Labor Discrimination
J78 Labor Discrimination: Public Policy
L86 Information and Internet Services; Computer Software
O12 Microeconomic Analyses of Economic Development
Geographic Coverage:
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Africa
Data Type(s):
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administrative records data
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