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This survey of the symposium papers argues that the problem of data mining should be of interest to both practicing econometricians and specialists in economic methodology. After summarizing some of the main points to arise in the symposium, it draws on recent work in the philosophy of science...
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Abstract The paradox described below aims to clarify the principles by which empirical data are harnessed to guide decision making. It is motivated by the practical question of whether empirical assessments of the effect of treatment on the treated (ETT) can be useful for either policy...
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Abstract This paper reviews concepts, principles, and tools that have led to a coherent mathematical theory that unifies the graphical, structural, and potential outcome approaches to causal inference. The theory provides solutions to a number of pending problems in causal analysis, including...
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ignorability conditions whenever modeling assumptions are articulated in the language of counterfactuals.  …
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Abstract In this issue of the Causal, Casual, and Curious column, I compare several ways of extracting information from post-treatment variables and call attention to some peculiar relationships among them. In particular, I contrast do -calculus conditioning with counterfactual conditioning and...
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