Publication:
Corruption, quality of institutions and growth

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Date
2023
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Authors
Arielle Beyaert ; García Solanes, José ; López Gómez, Laura
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Publisher
Emerald
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Métodos Cuantitativos para la Economía y la Empresa Fundamentos del Análisis Económico
DOI
https://doi.org/10.1108/AEA-11-2021-0297
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info:eu-repo/semantics/article
Description
Abstract
Purpose This paper aims to apply regression-tree analysis to capture the nonlinear effects of corruption on economic growth. Using data of 103 countries for the period 1996–2017, the authors endogenously detect two distinct areas in corruption quality in which the members share the same model of economic growth. Design/methodology/approach The authors apply regression tree analysis to capture the nonlinearity of the influences. This methodology allows us to split endogenously the whole sample of countries and characterize the different ways through which corruption impacts economic growth in each group of countries. Findings The traditional determinants of economic growth have different impacts on countries depending on their level of corruption, which, in turn, confirms the parameter heterogeneity of the Solow model found in other strands of the literature. Originality/value The authors apply a new approach to a worldwide sample obtaining novel results.
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Regression tree , Corruption , Institutional quality , Solow Model , Growth
Citation
Beyaert A, García-Solanes J, Lopez-Gomez L (2023), "Corruption, quality of institutions and growth". Applied Economic Analysis, Vol. 31 No. 91 pp. 55–72, https://doi.org/10.1108/AEA-11-2021-0297
URI
http://hdl.handle.net/10201/202102
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