Corruption and Related Socioeconomic Factors: A Time Series Study.

This study examines corruption in relation to political, legal, and economic factors to see how these factors impact corruption over time and to test the direction of causality between these variables. To assess causality, cointegration analysis using an error correction model on data from over 100...

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Publicado en:Kyklos Vol. 60; no. 3; pp. 319 - 348
Autores principales: Brown, Steven F., Shackman, Joshua
Formato: Artículo
Publicado: Wiley-Blackwell 2007
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1111/j.1467-6435.2007.00374.x
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        atl: Corruption and Related Socioeconomic Factors: A Time Series Study.
      aug:
        au:
          Brown, Steven F.
          Shackman, Joshua
      su:
        Corruption
        Mathematical models
        Government accountability
        Law enforcement
        Economics
        Gross national product
      sug:
        subj:
          Corruption
          Mathematical models
          Government accountability
          Law enforcement
          Economics
          Gross national product
      ab: This study examines corruption in relation to political, legal, and economic factors to see how these factors impact corruption over time and to test the direction of causality between these variables. To assess causality, cointegration analysis using an error correction model on data from over 100 countries spanning over 20 years was performed. Three antecedent variables are analyzed in relation to corruption. Over the long-term, increases in these variables result in decreases in corruption. However, there is no evidence that changes in corruption impact any of these same variables. Interestingly, increases in GDP per capita are found to increase corruption over the short-term while leading to a long-term reduction in corruption. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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