Return to search

The impact of commuting time over educational achievement : a machine learning approach

TESIS PARA OPTAR AL GRADO DE MAGÍSTER EN ECONOMÍA / Taking advantage of georeferenced data from Chilean students, we estimate the impact of commuting
time over academic achievement. As the commuting time is an endogenous variable, we use instrumental
variables and fixed effects at school level to overcome this problem. Also, as we don’t know which mode
of transport the students use, we complement our analysis using machine learning methods to predict
the transportation mode. Our findings suggest that the commuting time has a negative effect over
academic performance, but this effect is not always significant.

Identiferoai:union.ndltd.org:UCHILE/oai:repositorio.uchile.cl:2250/164086
Date27 September 2018
CreatorsSuárez Chavarría, Nicolás
ContributorsContreras Guajardo, Dante, Hojman Trujillo, Daniel
PublisherUniversidad de Chile
Source SetsUniversidad de Chile
LanguageEnglish
Detected LanguageEnglish
TypeTesis
RightsAttribution-NonCommercial-NoDerivs 3.0 Chile, http://creativecommons.org/licenses/by-nc-nd/3.0/cl/

Page generated in 0.002 seconds