Causal inference in economics and marketing. Varian, H., R. Proceedings of the National Academy of Sciences, 113(27):7310-7315, National Academy of Sciences, 7, 2016.
Causal inference in economics and marketing [link]Website  abstract   bibtex   
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, po-tentially improving causal inference.
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 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, po-tentially improving causal inference. },
 bibtype = {article},
 author = {Varian, Hal R.},
 journal = {Proceedings of the National Academy of Sciences},
 number = {27}
}

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