uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Partisan Imbalance in Regression Discontinuity Studies Based on Electoral Thresholds
Department of Government, Harvard University.
SIPA Columbia University, New York, USA ; FN, Stockholm, Sweden.
Department of Political Science, Columbia University.
2015 (English)In: Political Science Research and Methods, ISSN 2049-8470, E-ISSN 2049-8489, Vol. 3, no 2, p. 169-186Article in journal (Refereed) Published
Abstract [en]

Many articles use regression discontinuity designs (RDDs) that exploit the discontinuity in “close” election outcomes to identify various political and economic outcomes of interest. One of the most important types of diagnostic tests in an RDD is checking for balance in observable variables within the window on either side of the threshold. Finding an imbalance raises concerns that an unobservable variable may exist that affects whether a case ends up above or below the threshold and also directly affects the dependent variable of interest. This article shows that imbalance in RDDs exploiting close elections are likely to arise even in the absence of any type of strategic sorting. Imbalance may arise simply due to variation in the underlying distribution of partisanship in the electorate across constituencies. Using both simulated and actual election data, the study demonstrates that the imbalances driven by partisanship can be large in practice. It then shows that although this causes a bias for the most naive RDDs, the problem can be corrected with commonly used RDDs such as the inclusion of a local linear control function.

Place, publisher, year, edition, pages
CAMBRIDGE UNIV PRESS , 2015. Vol. 3, no 2, p. 169-186
National Category
Political Science
Identifiers
URN: urn:nbn:se:uu:diva-338629DOI: 10.1017/psrm.2014.31OAI: oai:DiVA.org:uu-338629DiVA, id: diva2:1172875
Available from: 2018-01-11 Created: 2018-01-11 Last updated: 2018-02-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Folke, Olle
In the same journal
Political Science Research and Methods
Political Science

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf