The impact of commute time on the Gender wage gap: an empirical analysis
Date
2021
Type:
Article
item.page.extent
item.page.accessRights
item.contributor.advisor
ORCID:
Journal Title
Journal ISSN
Volume Title
Publisher
item.page.isbn
item.page.issn
item.page.issne
item.page.doiurl
item.page.other
item.page.references
Abstract
The gender wage gap for the city of Santiago, Chile and its explained and unexplained
portions are analysed using the Oaxaca-Blinder decomposition with data from
CASEN 2017, the Chilean household survey. A novel feature of the analysis is the
inclusion among the explanatory variables of commute time. Wage equations for men
and women are estimated using three different methods: ordinary least squares, twostage least squares and the Heckman selection model. The estimates of the gap vary
depending on the method between 0% and 9%. The decomposition of the gap reveals
that between 6% and 17% of the gap is unexplained (i.e., due to discrimination).
Commute time is found to account for 10% to 47% of the logarithmic wage gap
explained by worker characteristics.
Description
item.page.coverage.spatial
item.page.sponsorship
Citation
Rodrigo Troncoso, Louis de Grange, Danae Rodríguez, The impact of commute time on the gender wage gap: An empirical analysis, Case Studies on Transport Policy, Volume 9, Issue 3, 2021, Pages 1106-1111
Keywords
Gender wage gap, Commuting time, Oaxaca-Blinder decomposition, Survey data