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Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale
Double machine learning (DML) has become an increasingly popular tool for automated variable selection in high-dimensional settings.
On the Nuisance of Control Variables in Regression Analysis
Control variables are included in regression analyses to estimate the causal effect of a treatment on an outcome.
Causal Inference and Data Fusion in Econometrics
Learning about cause and effect is arguably the main goal in applied econometrics.
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