Propensity score matching methods for nonexperimental causal studies pdf




















Dehejia , Rajeev H. This Site. Google Scholar. Sadek Wahba Sadek Wahba. Author and Article Information. Sadek Wahba. Received: February 12 Accepted: January 24 Online Issn: The Review of Economics and Statistics 84 1 : — Article history Received:.

Cite Icon Cite. Abstract This paper considers causal inference and sample selection bias in nonexperimental settings in which i few units in the nonexperimental comparison group are comparable to the treatment units, and ii selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics. You do not currently have access to this content.

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N2 - This paper considers causal inference and sample selection bias in nonexperimental settings in which i few units in the nonexperimental comparison group are comparable to the treatment units, and ii selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pretreatment characteristics.

AB - This paper considers causal inference and sample selection bias in nonexperimental settings in which i few units in the nonexperimental comparison group are comparable to the treatment units, and ii selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pretreatment characteristics.

Overview Fingerprint. Abstract This paper considers causal inference and sample selection bias in nonexperimental settings in which i few units in the nonexperimental comparison group are comparable to the treatment units, and ii selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pretreatment characteristics. Access to Document Link to publication in Scopus.

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