Corruption and Socioeconomics Determinants:Empirical Evidence of Twenty Nine Countries

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Corruption and Socioeconomics Determinants:Empirical Evidence of Twenty Nine Countries

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Halkos, George
Tzeremes, Nickolaos

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Abstract

This paper measures the effect of different socioeconomic determinants on countries’ transparency efficiency. Specifically, using Data Envelopment Analysis (DEA), the transparency efficiency of twenty nine countries is calculated. Then with the help of factor analysis we extract two factors from seven socioeconomic variables according to their communality of influence. Finally we set up a logistic regression using the efficiencies derived from DEA and the factors extracted from factor analysis. The results suggest that higher transparency efficiency appears in countries with cultural values of lower power distance, masculinity, uncertainty avoidance and lower individualism. Additionally, lower inflation rates and lower political and economical risks constitute to higher levels of countries’ transparency efficiency while positive GDP growth doesn’t ensure countries’ transparency efficiency.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 2874.

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Date of creation: 03 Jan 2007
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Handle: RePEc:pra:mprapa:2874

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Find related papers by JEL classification:
Z10 - Other Special Topics - - Cultural Economics - - - General
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
M20 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics - - - General

This paper has been announced in the following NEP Reports:

NEP-ALL-2007-05-12 (All new papers)
NEP-POL-2007-05-12 (Positive Political Economics)
NEP-SOC-2007-05-12 (Social Norms & Social Capital)

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Gurmu, Shiferaw & Rilstone, Paul & Stern, Steven, 1998. "Semiparametric estimation of count regression models1," Journal of Econometrics, Elsevier, vol. 88(1), pages 123-150, November. [Downloadable!] (restricted)

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