Causal Machine Learning and its use for public policy

Causal Machine Learning and its use for public policy

Abstract In recent years, microeconometrics experienced the ‘credibility revolution’, culminating in the 2021 Nobel prices for David Card, Josh Angrist, and Guido Imbens. This ‘revolution’ in how to do empirical work led to more reliable empirical knowledge of the causal effects of certain public po...

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Bibliographic Details
Main Author:	Michael Lechner
Format:	Article
Language:	English
Published:	SpringerOpen 2023-05-01
Series:	Swiss Journal of Economics and Statistics
Subjects:	Causal analysis Machine Learning Econometric evaluation
Online Access:	https://doi.org/10.1186/s41937-023-00113-y

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