Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/145281 
Erscheinungsjahr: 
2016
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 9990
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
We consider inference in regression discontinuity designs when the running variable only takes a moderate number of distinct values. In particular, we study the common practice of using confidence intervals (CIs) based on standard errors that are clustered by the running variable. We derive theoretical results and present simulation and empirical evidence showing that these CIs have poor coverage properties and therefore recommend that they not be used in practice. We also suggest alternative CIs with guaranteed coverage properties under easily interpretable restrictions on the conditional expectation function.
Schlagwörter: 
regression discontinuity design
discrete running variable
clustered standard errors
JEL: 
C13
C14
C21
C25
Dokumentart: 
Working Paper

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