%0 Report
        %A Knaus, Michael C.
        %T A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills
        %D 2018
        %8 2018 May
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 11547
        %U https://www.iza.org/publications/dp11547
        %X 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.
        %K double machine learning
%K extracurricular activities
%K music
%K cognitive and non-cognitive skills
%K youth development