2018
DOI: 10.1257/aer.20160945
|View full text |Cite
|
Sign up to set email alerts
|

Inference in Regression Discontinuity Designs with a Discrete Running Variable

Abstract: 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 as a means to make inference robust to model misspecification (Lee and Card, 2008). We derive theoretical results and present simulation and empirical evidence showing that these CIs do not guard against model misspecification, and th… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

3
221
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 257 publications
(224 citation statements)
references
References 41 publications
3
221
0
Order By: Relevance
“…βRDDAM compares pupils with age at school entry of either 76 or 77 months. BSD and BME CI refer to the bounded second derivative and bounded misspecification error “honest” confidence intervals as discussed in Kolesar and Rothe (). BSD and BME normalized standard errors also reported.…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…βRDDAM compares pupils with age at school entry of either 76 or 77 months. BSD and BME CI refer to the bounded second derivative and bounded misspecification error “honest” confidence intervals as discussed in Kolesar and Rothe (). BSD and BME normalized standard errors also reported.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, as a robustness check, we also report bounded misspecification error (BME) honest CIs. These are based on the assumption that the specification bias at zero is no worse at the cutoff than away from it (see Section 5.2 of Kolesar and Rothe ). Although this type of CI is specifically designed for discrete running variables, it tends to be quite conservative and, in practice, uninformative if there is substantial uncertainty about the magnitude of the specification errors.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations