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dc.contributor.authorApergis, Nicholas
dc.contributor.authorDincer, Oguzhan
dc.contributor.authorPayne, James
dc.date.accessioned2019-03-14T17:37:45Z
dc.date.available2019-03-14T17:37:45Z
dc.date.issued2010-10
dc.identifier.urihttp://hdl.handle.net/10545/623576
dc.description.abstractWe investigate the causality between corruption and income inequality within a multivariate framework using a panel data set of all 50 U.S. states over the period 1980 to 2004. The heterogeneous panel cointegration test by Pedroni (Oxf. Bull. Econ. Stat. 61:653–670, 1999; Econom. Theory 20:597–627, 2004) indicates that in the long run corruption and the unemployment rate have a positive and statistically significant impact on income inequality while a negative impact is found for real personal income per capita, education, and unionization rate. The Granger-causality results associated with a panel vector error correction model indicate both short-run and long-run bidirectional causality between corruption and income inequality.en
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherSpringeren
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCorruptionen
dc.subjectIncome inequalityen
dc.subjectGranger-causalityen
dc.subjectPanel unit root and cointegration testsen
dc.titleThe relationship between corruption and income inequality in U.S. states: evidence from a panel cointegration and error correction modelen
dc.typeArticleen
dc.contributor.departmentUniversity of Piraeusen
dc.contributor.departmentIllinois State Universityen
dc.contributor.departmentIllinois State Universityen
dc.identifier.journalPublic Choiceen


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