Measuring Electoral Competitiveness: With Application to the Indian States

Bharatee Dash, J. Stephen Ferris and Stanley Winer ()

No 18-10, Carleton Economic Papers from Carleton University, Department of Economics

Abstract: We consider alternative methods of measuring the competitiveness of a majoritarian electoral system in the context of an analysis of Indian State elections. Our analysis highlights a number of weaknesses in the construction and interpretation of commonly used measures such as the effective number of parties, the first versus second place vote margin and safe seats, while presenting these and their proposed alternatives for 14 major Indian states from 1952 to 2009. The alternative indexes we present are based in part on ideas that are longstanding in the literature but have not been fully adopted within the Indian context. These indexes incorporate vote volatility, allow for multi-party competition at the constituency level, and adjust for asymmetry among parties of safe seats in the legislature. We argue that these newly computed indexes capture distinct but related dimensions of electoral competition better than do the extant commonly used measures. The analysis of these indexes is then extended to consider the role of caste, class, regionalism and level of development to reveal interesting patterns of commonality and difference in electoral competition across the states.

Keywords: electoral competitiveness; effective number of parties and Tpartyness; volatility adjusted vote margins; asymmetry adjusted safe seats; Indian states; caste and class (search for similar items in EconPapers)
JEL-codes: A12 D02 D72 O1 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2018-07-07
New Economics Papers: this item is included in nep-cdm and nep-pol
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published: Carleton Economic Papers

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Working Paper: Measuring Electoral Competitiveness: With Application to the Indian States (2018)
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