Regression discontinuity designs: a guide to practice

In Regression Discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed threshold. These designs were first introduced in the evaluation literature by Thistl...

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Bibliographische Detailangaben
Hauptverfasser: Imbens, Guido 1963- (VerfasserIn), Lemieux, Thomas 1989- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Cambridge, Mass. National Bureau of Economic Research 2007
Schriftenreihe:Working paper series / National Bureau of Economic Research 13039
Online-Zugang:Volltext
Zusammenfassung:In Regression Discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed threshold. These designs were first introduced in the evaluation literature by Thistlewaite and Campbell (1960). With the exception of a few unpublished theoretical papers, these methods did not attract much attention in the economics literature until recently. Starting in the late 1990s, there has been a large number of studies in economics applying and extending RD methods. In this paper we review some of the practical and theoretical issues involved in the implementation of RD methods.
Beschreibung:34, [1] S. graph. Darst. 22 cm

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