Manipulation of the running variable in the regression discontinuity design¶
McCrary, J. (2008). Manipulation of the running variable in the regression discontinuity design: A density test. Journal of Econometrics.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Regression Discontinuity Design
- In both forms, the identifying assumption — that all determinants of the outcome other than treatment are smooth through the cutoff — is testable: covariate balance at the cutoff can be checked, and the McCrary density test detects whether subjects are bunching on one side of the threshold by manipulating their running variable, which would violate the as-if-random comparability of adjacent units
This sourceMcCrary's density test detects manipulation of the running variable around the cutoff, a failure that breaks the as-if-random comparability of adjacent units.
Supported in partVerified against the work's full text
“This paper develops a test of manipulation related to continuity of the running variable density function.”
- In both forms, the identifying assumption — that all determinants of the outcome other than treatment are smooth through the cutoff — is testable: covariate balance at the cutoff can be checked, and the McCrary density test detects whether subjects are bunching on one side of the threshold by manipulating their running variable, which would violate the as-if-random comparability of adjacent units
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