Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/180565 
Autor:innen: 
Erscheinungsjahr: 
2018
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 11547
Verlag: 
Institute of Labor Economics (IZA), Bonn
Zusammenfassung: 
This study investigates the dose-response effects of making music on youth development. Identification is based on the conditional independence assumption and estimation is implemented using a recent double machine learning estimator. The study proposes solutions to two highly practically relevant questions that arise for these new methods: (i) How to investigate sensitivity of estimates to tuning parameter choices in the machine learning part? (ii) How to assess covariate balancing in high-dimensional settings? The results show that improvements in objectively measured cognitive skills require at least medium intensity, while improvements in school grades are already observed for low intensity of practice.
Schlagwörter: 
double machine learning
extracurricular activities
music
cognitive and non-cognitive skills
youth development
JEL: 
J24
Z11
C21
C31
Dokumentart: 
Working Paper

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