Highlights We study the gender wage gap for the city of Santiago using the Oaxaca-Blinder decomposition. 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 econometric approaches. The estimates of the gap vary depending on the method between 0% and 9%. Commute accounts for 10% to 47% of logarithmic wage gap explained by worker characteristics.
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, two-stage 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.
The impact of commute time on the gender wage gap: An empirical analysis
2021-05-26
6 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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