Documento de trabajo
The impact of commuting time over educational achievement: A machine learning approach
Fecha
2018Registro en:
Series Documentos de Trabajo No. 472, pp. 1 - 39, Noviembre, 2018
Autor
Contreras Guajardo, Dante
Hojman Trujillo, Daniel
Matas, Manuel
Rodríguez Perales, Patricio
Suárez, Nicolás
Institución
Resumen
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.