On the dynamics of poverty and income inequality in US states
Purpose – This study seeks to provide answers to the following questions: Is there a relationship between poverty and income inequality in the short run/long run? Is the relationship unidirectional from income inequality to poverty as the previous studies assume, or is it bidirectional? Design/methodology/approach – The paper investigates the causality between income inequality and poverty within a multivariate framework using a panel data set of 50 US states over the period 1980 to 2004. Findings – The results reveal that a bidirectional relationship exists between poverty and income inequality both in the short run and in the long run. With respect to the short-run dynamics associated with poverty, both income inequality and the unemployment rate have a positive and statistically significant impact on poverty, a negative and statistically significant impact for real per capita personal income and level of education, while corruption is insignificant. In terms of the short-run dynamics associated with income inequality, poverty, the unemployment rate, real per capita personal income, and the level of education have a positive and statistically significant impact, while corruption has a statistically insignificant impact on income inequality. With regard to the long-run dynamics, the statistically significant error correction terms indicate the presence of a feedback relationship between poverty and income inequality. Originality/value – This study contributes to the existing empirical literature on several fronts. First, while previous studies rely on cross-country data, both the cross-sectional and time series variation of a panel data set of all 50 US states spanning the period 1980 to 2004 is exploited. Second, while the previous studies implicitly assume unidirectional causality from income inequality and poverty in their model specifications, the short-run and long-run causal dynamics between poverty and income inequality within a panel vector error correction model are explicitly examined.
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Volume (Year): 38 (2011)
Issue (Month): 2 (May)
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- Dollar, David & Kraay, Aart, 2001.
"Growth is good for the poor,"
Policy Research Working Paper Series
2587, The World Bank.
- Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
- Kalwij, Adriaan & Verschoor, Arjan, 2007. "Not by growth alone: The role of the distribution of income in regional diversity in poverty reduction," European Economic Review, Elsevier, vol. 51(4), pages 805-829, May.
- Douglas Holtz-Eakin, 1986. "Testing for Individual Effects in Dynamic Models Using Panel Data," NBER Technical Working Papers 0057, National Bureau of Economic Research, Inc.
- Josep Llu�s Carrion-i-Silvestre & Tom�s del Barrio-Castro & Enrique L�pez-Bazo, 2005.
"Breaking the panels: An application to the GDP per capita,"
Royal Economic Society, vol. 8(2), pages 159-175, 07.
- Josep Lluis Carrion Silvestre & Tomas del Barrio Castro & Enrique Lopez Bazo, 2003. "Breaking the panels. An application to the GDP per capita," Working Papers in Economics 97, Universitat de Barcelona. Espai de Recerca en Economia.
- Nicholas Apergis & Oguzhan Dincer & James Payne, 2010. "The relationship between corruption and income inequality in U.S. states: evidence from a panel cointegration and error correction model," Public Choice, Springer, vol. 145(1), pages 125-135, October.
- Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003.
"Testing for unit roots in heterogeneous panels,"
Journal of Econometrics,
Elsevier, vol. 115(1), pages 53-74, July.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
- Tom Doan, . "IPSHIN: RATS procedure to implement Im, Pesaran and Shin panel unit root test," Statistical Software Components RTS00098, Boston College Department of Economics.
- Kaddour Hadri, 1999.
"Testing For Stationarity In Heterogeneous Panel Data,"
1999_04, University of Liverpool Management School.
- Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
- Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002.
"Unit root tests in panel data: asymptotic and finite-sample properties,"
Journal of Econometrics,
Elsevier, vol. 108(1), pages 1-24, May.
- Tom Doan, . "LEVINLIN: RATS procedure to perform Levin-Lin-Chu test for unit roots in panel data," Statistical Software Components RTS00242, Boston College Department of Economics.
- Peter Pedroni, 1999.
"Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors,"
Department of Economics Working Papers
2000-02, Department of Economics, Williams College.
- Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-70, Special I.
- Fisman, Raymond & Gatti, Roberta, 2002. " Decentralization and Corruption: Evidence from U.S. Federal Transfer Programs," Public Choice, Springer, vol. 113(1-2), pages 25-35, October.
- Fredriksson, Per G. & List, John A. & Millimet, Daniel L., 2003. "Bureaucratic corruption, environmental policy and inbound US FDI: theory and evidence," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1407-1430, August.
- Pedroni, Peter, 2004.
"Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis,"
Cambridge University Press, vol. 20(03), pages 597-625, June.
- Peter Pedroni, 2004. "Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis," Department of Economics Working Papers 2004-15, Department of Economics, Williams College.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
- Dincer, Oguzhan C., 2008. "Ethnic and religious diversity and corruption," Economics Letters, Elsevier, vol. 99(1), pages 98-102, April.
- Rajeev Goel & Daniel Rich, 1989. "On the economic incentives for taking bribes," Public Choice, Springer, vol. 61(3), pages 269-275, June.
- Timothy Besley & Robin Burgess, 2003. "Halving Global Poverty," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 3-22, Summer.
- Peter Pedroni, 2000.
"Fully Modified OLS for Heterogeneous Cointegrated Panels,"
Department of Economics Working Papers
2000-03, Department of Economics, Williams College.
- Tom Doan, . "PANELFM: RATS procedure to perform panel data group mean FMOLS," Statistical Software Components RTS00151, Boston College Department of Economics.
- Glaeser, Edward L. & Saks, Raven E., 2006. "Corruption in America," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1053-1072, August.
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