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

被引:72
|
作者
Apergis, Nicholas [3 ]
Dincer, Oguzhan C. [1 ]
Payne, James E. [2 ]
机构
[1] Illinois State Univ, Dept Econ, Normal, IL 61790 USA
[2] Illinois State Univ, Coll Arts & Sci, Normal, IL 61790 USA
[3] Univ Piraeus, Dept Banking & Financial Management, Athens 18534, Greece
关键词
Corruption; Income inequality; Panel unit root and cointegration tests; Granger-causality; UNIT-ROOT TESTS;
D O I
10.1007/s11127-009-9557-1
中图分类号
F [经济];
学科分类号
02 ;
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.
引用
收藏
页码:125 / 135
页数:11
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