A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills

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Tác giả: Michael C Knaus

Ngôn ngữ: eng

Ký hiệu phân loại: 781.42 *Techniques for acquiring musical skills and learning a repertoire

Thông tin xuất bản: 2018

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Bộ sưu tập: Metadata

ID: 161953

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.
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