Corruption around the world: an analysis by partial least squares—structural equation modeling

Roberto Dell’Anno ()
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Roberto Dell’Anno: University of Salerno
Authors registered in the RePEc Author Service: Roberto Dell'Anno

Public Choice, 2020, vol. 184, issue 3, No 6, 327-350

Abstract: Abstract This paper contributes to the empirical research on corruption in three ways. From a methodological viewpoint, it applies partial least squares–structural equation modeling to estimate an index of perceived corruption around the world—hereinafter structural corruption perception index (S-CPI). This approach allows one to estimate corruption as a multidimensional latent variable by complex cause-effect relationships between observed and/or unobserved variables. From a positive viewpoint, it estimates comparable S-CPI scores in 165 countries from 1995 to 2016, using a model specification based on existing theory of and empirics on the causes and consequences of corruption. In terms of policy implications, helpful hints on which are the most effective channels for fighting corruption are provided.

Keywords: Corruption; Structural equation modeling; World economy; D73; C39 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11127-019-00758-5

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