The relationship between corruption and income inequality in U.S. states: evidence from a panel cointegration and error correction model
Journal article
Authors | Apergis, Nicholas, Dincer, Oguzhan and Payne, James |
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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. |
Keywords | Corruption; Income inequality; Granger-causality; Panel unit root and cointegration tests |
Year | 2010 |
Journal | Public Choice |
Publisher | Springer |
Web address (URL) | http://hdl.handle.net/10545/623576 |
http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
hdl:10545/623576 | |
Publication dates | Oct 2010 |
Publication process dates | |
Deposited | 14 Mar 2019, 17:37 |
Contributors | University of Piraeus, Illinois State University and Illinois State University |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/93y7v/the-relationship-between-corruption-and-income-inequality-in-u-s-states-evidence-from-a-panel-cointegration-and-error-correction-model
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