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• W2130212511 endingPage "508" @default.
• W2130212511 startingPage "487" @default.
• W2130212511 abstract "In recent years, there has been a burst of innovative work on methods for estimating causal effects using observational data. Much of this work has extended and brought a renewed focus on old approaches such as matching, which is the focus of this review. The new developments highlight an old tension in the social sciences: a focus on research design versus a focus on quantitative models. This realization, along with the renewed interest in field experiments, has marked the return of foundational questions as opposed to a fascination with the latest estimator. I use studies of get-out-the-vote interventions to exemplify this development. Without an experiment, natural experiment, a discontinuity, or some other strong design, no amount of econometric or statistical modeling can make the move from correlation to causation persuasive." @default.
• W2130212511 created "2016-06-24" @default.
• W2130212511 creator A5049923911 @default.
• W2130212511 date "2009-06-01" @default.
• W2130212511 modified "2023-10-16" @default.
• W2130212511 title "Opiates for the Matches: Matching Methods for Causal Inference" @default.
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