Causal inference in economics and marketing

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...

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Published in:Proceedings of the National Academy of Sciences - PNAS 2016-07, Vol.113 (27), p.7310-7315
Main Author: Varian, Hal R.
Format: Article
Language:English
Subjects:
Physical Sciences
Sackler on Drawing Causal Inference from Big Data
Social Sciences
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description 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 inference.
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subjects Physical Sciences
Sackler on Drawing Causal Inference from Big Data
Social Sciences
title Causal inference in economics and marketing
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