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...
| Publicado en: | Kyklos Vol. 60; no. 3; pp. 319 - 348 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
2007
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510570031&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510570031 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00235962 KYK jtl: Kyklos issn: 00235962 maglogo: N pubinfo: dt: 2007 vid: 60 iid: 3 pid: 480 pub: Wiley-Blackwell artinfo: ui: 510570031 10.1111/j.1467-6435.2007.00374.x ppf: 319 ppct: 29 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.2MB tig: 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 refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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