Search and Matching in Political Corruption

Maurizio Lisciandra (), Miralles Asensio Antonio () and Monteforte Fabio ()
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Miralles Asensio Antonio: Department of Economics, University of Messina, Messina, Italy
Monteforte Fabio: Department of Economics, University of Messina, Messina, Italy

The B.E. Journal of Economic Analysis & Policy, 2024, vol. 24, issue 1, 69-96

Abstract: We develop a search and matching model to analyze the dynamics of the political corruption market. This model serves as a framework for evaluating the effectiveness of a set of anti-corruption policies. Contrary to expectations, conventional policies such as enhancing penalties or allocating greater resources to criminal investigations do not universally emerge as the most effective tools. For mitigating small-scale political corruption, the optimal strategy is to curtail corruption signaling, achieved, for instance, through enhancing transparency and competitiveness in the exchanges between entrepreneurs and politicians. For large-scale corruption, raising the costs of corruption signaling proves less effective as a deterrent compared to ex-post policy measures, such as improved detection effectiveness and harsher sanctions.

Keywords: political corruption; bribing; lobbying; deterrence; law enforcement (search for similar items in EconPapers)
JEL-codes: D72 D73 K42 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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DOI: 10.1515/bejeap-2023-0022

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