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Double LASSO: Replication and Practical Insights
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AI
DOI：10.1002/jae.70041.png)
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Abstract
En 中文
The rise of machine learning (ML) is one of the most prominent developments in applied econometrics in the past decade. The focus of much economic analysis is causal, rather than prediction, and Belloni et al. (2014) demonstrate how ML methods can be used in causal inference. This paper undertakes a narrow and wide replication of the Monte Carlo and empirical examples presented by Belloni et al. (2014). We discuss practical implications of this replication for the use of double ML methods in applied econometric research.
Keywords:
causal machine learning
double Least Absolute Shrinkage and Selection Operator (LASSO)
double machine learning
Journal
J
IF:
3.1
Papers:
48
Citations:
8.0K
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