Code for: The Gender Wage Gap: Skills, Sorting, and Returns

Principal Investigator(s): View help for Principal Investigator(s) John Eric Humphries, Yale University; Juanna S. Joensen, University of Chicago; Gregory Veramendi, Royal Holloway - University of London

Version: View help for Version V1

Name	File Type	Size	Last Modified
Code			05/01/2024 11:13:AM
readme.pdf	application/pdf	176.7 KB	05/01/2024 06:58:AM
readme.rtf	application/rtf	58.7 KB	05/01/2024 06:11:AM

Project Citation:

Humphries, John Eric, Joensen, Juanna S., and Veramendi, Gregory. Code for: The Gender Wage Gap: Skills, Sorting, and Returns. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-06. https://doi.org/10.3886/E201825V1

Project Description

Summary: There is a large gender wage gap among college graduates. This gender gap could be partially driven by differences in college major and prior skills. We use Swedish register data to study how much of the gender gap can be explained by differences in majors, skills, and skill prices. College majors explain 60% of the gender wage gap, but large gaps remain within majors. We find that within-major wage gaps are neither driven by differences in multi-dimensional skills nor returns to these skills. In fact, women are positively selected in terms of college preparation and skills in almost every major.

Scope of Project

Subject Terms: administrative data; education choice; labor market outcomes

JEL Classification:
      C38 Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
      I21 Analysis of Education
      J16 Economics of Gender; Non-labor Discrimination
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials

Geographic Coverage: Sweden

Time Period(s): 1972 – 2013 (Swedish administrative data collected from birth of the oldest cohort in our sample, 1972, and data on formal schooling and on the labor market outcomes collected through the end of 2013)

Universe: Sweden: individuals born in 1972-77

Data Type(s): administrative records data; survey data

Collection Notes: See the accompanying online Appendix A for a more detailed description of the data.

Methodology

Unit(s) of Observation: Individual

Related Publications

Download this project

Published Versions

V1 [2024-05-06]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.