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Electoral Rules and Corruption

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Author Info
Torsten Persson
Guido Tabellini
Francesco Trebbi

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Abstract

Is corruption systematically related to electoral rules? A number of studies have tried to uncover economic and social determinants of corruption but, as far as we know, nobody has yet empirically investigated how electoral systems ináuence corruption. We try to address this lacuna in the literature, by relating corruption to dierent features of the electoral system in a sample from the late nineties encompassing more than 80 (developed and developing) democracies. Our empirical results are based on traditional regression methods, as well as non-parametric estimators. The evidence is consistent with the theoretical models reviewed in the paper. Holding constant a variety of economic and social variables, we find that larger voting districts - and thus lower barriers to entry - are associated with less corruption, whereas larger shares of candidates elected from party lists - and thus less individual accountability - are associated with more corruption. Altogether, proportional elections are associated with more corruption, since voting over party lists is the dominant effect, while the district magnitude effect is less robust.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 8154.

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Date of creation: Mar 2001
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Handle: RePEc:nbr:nberwo:8154

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Find related papers by JEL classification:
D7 - Microeconomics - - Analysis of Collective Decision-Making
H1 - Public Economics - - Structure and Scope of Government

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  1. Alberto Ades & Rafael Di Tella, 1999. "Rents, Competition, and Corruption," American Economic Review, American Economic Association, vol. 89(4), pages 982-993, September. [Downloadable!] (restricted)
  2. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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  3. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Blackwell Publishing, vol. 65(2), pages 261-94, April. [Downloadable!] (restricted)
  4. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Blackwell Publishing, vol. 64(4), pages 605-54, October. [Downloadable!] (restricted)
  5. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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