| dc.creator | Troncoso Olchevskaia, Rodrigo | |
| dc.creator | Grange, Louis de | |
| dc.creator | Rodríguez, Danae | |
| dc.date.accessioned | 2021-11-25T20:39:24Z | |
| dc.date.accessioned | 2023-05-19T14:48:13Z | |
| dc.date.available | 2021-11-25T20:39:24Z | |
| dc.date.available | 2023-05-19T14:48:13Z | |
| dc.date.created | 2021-11-25T20:39:24Z | |
| dc.date.issued | 2021 | |
| dc.identifier | 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 | |
| dc.identifier | https://doi.org/10.1016/j.cstp.2021.05.011 | |
| dc.identifier | http://hdl.handle.net/11447/5114 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/6302195 | |
| dc.description.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. | |
| dc.language | en | |
| dc.subject | Gender wage gap | |
| dc.subject | Commuting time | |
| dc.subject | Oaxaca-Blinder decomposition | |
| dc.subject | Survey data | |
| dc.title | The impact of commute time on the Gender wage gap: an empirical analysis | |
| dc.type | Article | |
