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Counterfactuals and Causal Inference
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Галерея

Counterfactuals and Causal Inference

Автор

Stephen L. Morgan (The Johns Hopkins University)

,

Christopher Winship (Harvard University, Massachusetts)

Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.
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