Estimation of the Incumbency Effects in the US State Legislatures: A Quasi-Experimental Approach
AbstractThis paper estimates the incumbency effects in the legislative elections of 45 states in the US during the period 1968-89. I improve upon the existing measures of incumbency by using a quasi-experimental research design that isolates the effect due to incumbency from other contemporaneous factors such as candidate quality. I find that incumbency bestows a significant advantage on incumbents compared with their challengers. The incumbent candidates are about 30 percentage points more likely to win the next election and win 5.3 percentage point more votes than the challengers. However, the advantage is not as large as estimated from the previous methods.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 8575.
Date of creation: Feb 2008
Date of revision:
Incumbency; Elections; Regression Discontinuity;
Find related papers by JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- H7 - Public Economics - - State and Local Government; Intergovernmental Relations
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-05-10 (All new papers)
- NEP-CDM-2008-05-10 (Collective Decision-Making)
- NEP-POL-2008-05-10 (Positive Political Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- David S. Lee & Enrico Moretti & Matthew J. Butler, 2004. "Do Voters Affect Or Elect Policies? Evidence from the U. S. House," The Quarterly Journal of Economics, MIT Press, vol. 119(3), pages 807-859, August.
- Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-09, January.
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