Arbeitspapier
Testing for Heterogeneous Treatment Effects in Experimental Data: False Discovery Risks and Correction Procedures
We review the statistical models applied to test for heterogeneous treatment effects in the recent empirical literature, with a particular focus on data from randomized field experiments. We show that testing for heterogeneous treatment effects is highly common, and likely to result in a large number of false discoveries when conventional standard errors are applied. We demonstrate that applying correction procedures developed in the statistics literature can fully address this issue, and discuss the implications of multiple testing adjustments for power calculations and experimental design.
- Sprache
-
Englisch
- Erschienen in
-
Series: Diskussionsbeitrag ; No. 477
- Klassifikation
-
Wirtschaft
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Fink, Günther
McConnell, Margaret
Vollmer, Sebastian
- Ereignis
-
Veröffentlichung
- (wer)
-
Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
- (wo)
-
Hannover
- (wann)
-
2011
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Fink, Günther
- McConnell, Margaret
- Vollmer, Sebastian
- Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
Entstanden
- 2011
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