arXiv 23 May 2018 · Econometrics · publishedJournal of the Royal Statistical Society Series A (Statistics in Society) (2018) · 8 citations (OpenAlex)
arXiv:1805.10300 · PDF · DOI · OpenAlex
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.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Calibrating doubly-robust estimators with unbalanced treatment assignment | 0.405 | 1 | 1 |
| 2 | Semiparametric inference for impulse response functions using double/debiased machine learning | 0.405 | 1 | 1 |
| 3 | Estimating Causal Effects with Double Machine Learning - A Method Evaluation | 0.000 | 1 | 1 |