The relationship between corruption and income inequality in U.S. states: evidence from a panel cointegration and error correction model

被引：0
|
作者：
Nicholas Apergis
Oguzhan C. Dincer
James E. Payne
机构：
[1] University of Piraeus,Department of Banking and Financial Management
[2] Illinois State University,Department of Economics
[3] Illinois State University,College of Arts and Sciences
来源：
Public Choice | 2010年 / 145卷
关键词：
Corruption; Income inequality; Panel unit root and cointegration tests; Granger-causality;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：125 / 135
页数：10
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