Analysing spatial spillovers in corruption: A dynamic spatial panel data approach

Hermann Donfouet (), P. Wilner Jeanty () and Eric Malin

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Abstract: Previous studies on the determinants of corruption have seldom addressed cross-border spillovers of corruption in a panel data setting. In this paper, we first propose a theoretical model of spatial corruption spillover based on network analysis. Then, we analyse spatial spillovers in corruption using a dynamic spatial panel approach. The results indicate that corruption not only exhibits spatial spillovers but also a persistent effect over time. More importantly, increase of income per capita, economic freedom, and percentage of women in the parliaments have a long-term effect on the perceived levels of corruption. Policies and programmes aiming at abating corruption must take into consideration those results.

Keywords: Corruption; dynamic spatial panel; endogeneity (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

Published in Papers in Regional Science, 2018, 97 (S1), pp.S63-S78. ⟨10.1111/pirs.12231⟩

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Journal Article: Analysing spatial spillovers in corruption: A dynamic spatial panel data approach (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01354146

DOI: 10.1111/pirs.12231

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