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dc.contributor.authorApergis, Nicholas
dc.contributor.authorDincer, O.
dc.contributor.authorPayne, J.
dc.date.accessioned2017-01-30T12:08:57Z
dc.date.available2017-01-30T12:08:57Z
dc.date.created2014-04-07T20:00:48Z
dc.date.issued2010
dc.identifier.citationApergis, Nicholas and Dincer, Oguzhan C. and Payne, James E. 2010. The Relationship Between Corruption and Income Inequality in U.S. states: Evidence From a Panel Cointegration and Error Correction Model. Public Choice. 145 (1-2): pp. 125-135.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/18639
dc.identifier.doi10.1007/s11127-009-9557-1
dc.description.abstract

We 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.

dc.publisherSpringer New York LLC
dc.subjectPanel unit root and cointegration tests
dc.subjectIncome inequality
dc.subjectGranger-causality
dc.subjectCorruption
dc.titleThe Relationship Between Corruption and Income Inequality in U.S. states: Evidence From a Panel Cointegration and Error Correction Model
dc.typeJournal Article
dcterms.source.volume145
dcterms.source.startPage125
dcterms.source.endPage135
dcterms.source.issn0048-5829
dcterms.source.titlePublic Choice
curtin.department
curtin.accessStatusFulltext not available


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