Arbeitspapier
Quantile treatment effects in the regression discontinuity design
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design (RDD) and proposes simple estimators. Quantile treatment effects are a very helpful tool to characterize the effects of certain interventions on the outcome distribution. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists.
- Sprache
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Englisch
- Erschienen in
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Series: IZA Discussion Papers ; No. 3638
Estimation: General
causal effect
endogeneity
regression discontinuity
Regression
Nichtparametrisches Verfahren
Kausalanalyse
Theorie
Melly, Blaise
- Handle
- URN
-
urn:nbn:de:101:1-20080820247
- Letzte Aktualisierung
-
20.09.2024, 08:21 MESZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Frölich, Markus
- Melly, Blaise
- Institute for the Study of Labor (IZA)
Entstanden
- 2008