Arbeitspapier
Estimation, inference, and interpretation in the regression discontinuity design
The Regression Discontinuity Design (RDD) has proven to be a compelling and transparent research design to estimate treatment effects. We provide a review of the main assumptions and key challenges faced when adopting an RDD. We cover the most recent developments and advanced methods, and provide the key intuitions that underlie the statistical arguments. Among others, we summarize new insights that we consider to be highly relevant about the choice of bandwidth, optimal inference, discrete running variables, distributional effects, estimation in the presence of covariates, and the regression kink design. We also show how structural parameters can be estimated by combining an RDD identification strategy with theoretical models. We illustrate the procedures by applying them to data and we provide codes to replicate the results.
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Papers ; No. 20-16
- Klassifikation
-
Wirtschaft
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Melly, Blaise
Lalive, Rafael
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Bern, Department of Economics
- (wo)
-
Bern
- (wann)
-
2020
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Melly, Blaise
- Lalive, Rafael
- University of Bern, Department of Economics
Entstanden
- 2020
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