Causal inference in economics and marketing

Volume: 113, Issue: 27, Pages: 7310 - 7315
Published: Jul 5, 2016
Abstract
This is an elementary introduction to causal inference in economics written for readers familiar with machine learning methods. The critical step in any causal analysis is estimating the counterfactual—a prediction of what would have happened in the absence of the treatment. The powerful techniques used in machine learning may be useful for developing better estimates of the counterfactual, potentially improving causal...
Paper Details
Title
Causal inference in economics and marketing
Published Date
Jul 5, 2016
Volume
113
Issue
27
Pages
7310 - 7315
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