EconPapers    
Economics at your fingertips  
 

Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test

Justin McCrary

No 334, NBER Technical Working Papers from National Bureau of Economic Research, Inc

Abstract: Standard sufficient conditions for identification in the regression discontinuity design are continuity of the conditional expectation of counterfactual outcomes in the running variable. These continuity assumptions may not be plausible if agents are able to manipulate the running variable. This paper develops a test of manipulation related to continuity of the running variable density function. The methodology is applied to popular elections to the House of Representatives, where sorting is neither expected nor found, and to roll-call voting in the House, where sorting is both expected and found.

JEL-codes: C1 C2 C3 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cdm and nep-ecm
Date: 2007-01
Note: TWP
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (17) Track citations by RSS feed

Downloads: (external link)
http://www.nber.org/papers/t0334.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberte:0334

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/t0334

Access Statistics for this paper

More papers in NBER Technical Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Series data maintained by ().

 
Page updated 2017-09-29
Handle: RePEc:nbr:nberte:0334