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Strength of Partisan and Candidate Ties in India

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  • Aditi Singhal

Abstract

This study estimates the impact of incumbency on re-election prospects of parties and candidates in India, between 1977 and 2014, for Lok Sabha elections. Regression discontinuity design is used to estimate the causal effect of incumbency by comparing outcomes in closely fought elections. Results indicate that on an average, incumbent parties are significantly disadvantaged in comparison to non-incumbent parties. Similarly, the causal impact of incumbency on candidates highlights significant disadvantage to the incumbents. [CDE Working Paper No. 266].

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  • Aditi Singhal, 2016. "Strength of Partisan and Candidate Ties in India," Working Papers id:11504, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:11504
    Note: Institutional Papers
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    References listed on IDEAS

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    4. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    5. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    6. 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 201-209, January.
    7. Ansolabehere, Stephen & Hirano, Shigeo & Snyder, James M. & Ueda, Michiko, 2006. "Party and Incumbency Cues in Voting: Are They Substitutes?," Quarterly Journal of Political Science, now publishers, vol. 1(2), pages 119-137, March.
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