Corruption in US states: the effects of socio-economic factors
AbstractThis study is an empirical examination of socio-economic determinants of corruption in US states. Using the data on state-by-state number of corruption convictions from the US Department of Justice as the dependent variable, socio-economic factors such as income inequality, education level and ethnic diversity are investigated. First, we find that US states with higher education level are generally less corrupt when corruption is defined on the basis of convictions. Second, the hypothesis arguing that greater income inequality is associated with higher levels of corruption is supported by our empirical findings. Third, the study shows some evidence that high levels of ethnic diversity positively affect corruption rates. Finally, the study provides strong evidence that the states with greater populations have lesser corruption. Using corruption convictions data, these results echo the findings of the many cross-national studies relying on the data on corruption perception.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Inderscience Enterprises Ltd in its journal International Journal of Public Policy.
Volume (Year): 6 (2010)
Issue (Month): 3 (January)
Contact details of provider:
Web page: http://inderscience.metapress.com/link.asp?target=journal&id=119807
corruption perception; corruption convictions; US states; socio-economic factors; education levels; income inequality; ethnic diversity; population size; USA; United States;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statistics
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ian Winship) or (Christopher F. Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.