The impact of commute time on the Gender wage gap: an empirical analysis

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dc.contributor.authorTroncoso Olchevskaia, Rodrigo
dc.contributor.authorGrange, Louis de
dc.contributor.authorRodríguez, Danae
dc.date.accessioned2021-11-25T20:39:24Z
dc.date.available2021-11-25T20:39:24Z
dc.date.issued2021
dc.description.abstractThe 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.es
dc.identifier.citationRodrigo 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 1106-1111es
dc.identifier.urihttps://doi.org/10.1016/j.cstp.2021.05.011es
dc.identifier.urihttp://hdl.handle.net/11447/5114
dc.language.isoenes
dc.subjectGender wage gapes
dc.subjectCommuting timees
dc.subjectOaxaca-Blinder decompositiones
dc.subjectSurvey dataes
dc.titleThe impact of commute time on the Gender wage gap: an empirical analysises
dc.typeArticlees

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