The Misery Index, Corruption and Income Inequality in Latin American Countries: A Panel Cointegration and Causality Analysis
Keywords:income inequality, misery index, corruption, Latin American countries
The globalization process has led to considerable increases in the flow of goods, services and financial assets, and thus global production and wealth have risen substantially during the past 40 years. However, discussion has now centered around the rising income inequality and poverty in some parts of the world. In this regard, the Latin American region is one of the leading regions in terms of income inequality. This study investigates the interaction among misery index, corruption and income inequality in Latin American countries during the 2002-2014 period, employing the Westerlund and Edgerton (2007) LM bootstrap cointegration test and the Kónya (2006) bootstrap panel Granger causality test. The findings reveal that increases in both the misery index and corruption played a part in the increases in income inequality. Furthermore, the results of the causality test reveal unidirectional causality from the misery index to income inequality and bidirectional causality between corruption and income inequality.JEL Codes - C23; D30; D73; E24; E31; O54
Apergis, N., Dincer, O. C., and Payne, J. 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), 125-135. http://dx.doi.org/10.1007/s11127-009-9557-1
Björklund, A., 1991. Unemployment and Income Distribution: Time-Series evidence from Sweden. The Scandinavian Journal of Economics, 93(3), 457-465. http://dx.doi.org/10.2307/3440187
Breusch, T. S., and Pagan, A. R., 1980. The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics. The Review of Economic Studies, 47(1), 239-253. http://dx.doi.org/10.2307/2297111
Bulir, A., 2001. Income Inequality: Does Inflation Matter? IMF Staff Papers, 48(1), 39-159.
Cardoso, E., DE Barros, R. P., and Urani, A., 1995. Inflation and Unemployment as Determinants of Inequality in Brazil: The 1980s. http://www.nber.org/chapters/c7655.
Dabla-Norris, E., Kochhar, K., Suphaphiphat, N., Ricka, F., and Tsounta, E., 2015. Causes and Consequences of Income Inequality: A Global Perspective. IMF Staff Discussion Note SDN/15/13.
Dincer, O. C., and Gunalp, B., 2008. Corruption, Income Inequality, and Poverty in the United States. FEEM Working Paper, 54, 1-36.
Dobson, S., and Ramlogan-Dobson, C., 2010. Is There a Trade-off between Income Inequality and Corruption? Evidence from Latin America. Economics Letters, 107(2), 102-104. http://dx.doi.org/10.1016/j.econlet.2009.12.038
Dobson, S., and Ramlogan-Dobson, C., 2012. Why is Corruption Less Harmful to Income Inequality in Latin America? World Development, 40(8), 1534-1545. http://dx.doi.org/10.1016/j.worlddev.2012.04.015
Dwiputri, I. N., Arsyad, L., and Pradiptyo, R., 2018. The Corruption-income Inequality Trap: A Study of Asian Countries. Economics Discussion Papers, 2018-81.
Ferreira de Mendonça, H., and Martins Esteves, D., 2014. Income Inequality in Brazil: What has Changed in Recent Years? CEPAL Review, 2014/112, 107-123. http://dx.doi.org/10.18356/8be4e79e-en
Gupta, S., Davoodi, H., and Alomso-Terme, R., 1998. Does Corruption Affect Income Inequality and Poverty? IMF Working Paper, WP/98/76.
Gyimah-Brempong, K., 2002. Corruption, Economic Growth, and Income Inequality in Africa. Economics of Governance, 3(3), 183-209. http://dx.doi.org/10.1007/s101010200045
Huang, C. J., 2013. Corruption and Income Inequality in Asian Countries: Bootstrap Panel Granger causality Test. Romanian Journal of Economic Forecasting, 16(4), 161-170.
IMF, 2017. World Economic and Financial Surveys- World Economic Outlook Database. https://www.imf.org/external/pubs/ft/weo/2016/02/weodata/index.aspx.
Kónya, L., 2006. Exports and Growth: Granger Causality Analysis on OECD Countries with a Panel Data Approach. Economic Modelling, 23(6), 978-992. http://dx.doi.org/10.1016/j.econmod.2006.04.008
Li, H., Xu, L. X., and Zou, H. F., 2000. Corruption, Income Distribution, and Growth. Economics and Politics, 12(2), 155-181. http://dx.doi.org/10.1111/1468-0343.00073
Li, H., and Zou, H. F., 2002. Inflation, Growth, and Income Distribution: A Cross-country Study. Annals of Economics and Finance, 3, 85-101.
Mehrara, M., Firouzjaee, B. A., and Gholami, A., 2011. The Corruption and Income Distribution in OPEC and OECD Countries: A Comparative Study. International Journal of Economic Research, 2(6), 51-61.
Monnin, P., 2014. Inflation and Income Inequality in Developed Economies. CEP Working Paper, 2014/1. https://www.cepweb.org/wp-content/uploads/2014/05/CEP_WP_Inflation_and_Income_
Okun, A. M., 1970. The Political Economy of Prosperity. Washington: The Brookings Institution.
Pesaran, M. H., 2007. A Simple Panel Unit Root Test in the Presence of Cross-section Dependence. Journal of Applied Econometrics, 22(2), 265-312. http://dx.doi.org/10.1002/jae.951
Pesaran, M. H., Ullah, A., and Yamagata, T., 2008. A Bias-adjusted LM Test of Error Cross-section Independence. The Econometrics Journal, 11(1), 105-127. http://dx.doi.org/10.1111/j.1368-423X.2007.00227.x
Pesaran, M. H., and Yamagata, T., 2008. Testing Slope Homogeneity in Large Panels. Journal of Econometrics, 142(1), 50-93. http://dx.doi.org/10.1016/j.jeconom.2007.05.010
Rice, G. R., and Lozada, G. A., 1983. The Effects of Unemployment and Inflation on the Income Distribution: A Regional View. Atlantic Economic Journal, 11(2), 12-21. http://dx.doi.org/10.1007/BF02303363
Rodriguez Andres, A., and Ramlogan-Dobson, C., 2008. Corruption, privatisation and the distribution of income in Latin America. Working Papers no. 2008/11. Nottingham Trent University, Nottingham Business School, Economics Division.
Sadeghi, S. K., Marvasti, M. B., and Karbor, R., 2014. New Evidence on the Link between Income Inequality and Misery Index: A Nonlinear Time Series Analysis. International Journal of Sustainable Development & World Policy, 3(1), 25-30.
Sieron, A., 2017. Inflation and Income Inequality. Prague Economic Papers, 26(6), 633-645. http://dx.doi.org/10.18267/j.pep.630
Thalassinos, E., Ugurlu, E., and Muratoglu, Y., 2012. Income inequality and Inflation in the EU. European Research Studies, 15(1), 127-140.
Tsounta, E., and Osueke, A. I., 2014. What is behind Latin America’s Declining Income Inequality? . IMF Working Paper, WP/14/124. https://www.imf.org/external/pubs/ft/wp/2014/wp14124.pdf.
Ullah, M. A., and Ahmad, E., 2007. Corruption and Income Inequality: A Panel Data Analysis. Economia Global e Gestao, 13, 53-74.
Westerlund, J., and Edgerton, D. L., 2007. A panel bootstrap cointegration test. Economics Letters, 97(3), 185-190. http://dx.doi.org/10.1016/j.econlet.2007.03.003
Wong, M. Y. H., 2017. Public spending, Corruption, and Income Inequality: A Comparative Analysis of Asia and Latin America. International Political Science Review, 38(3), 298-315. http://dx.doi.org/10.1177/0192512116642617
World Bank, 2018a. GINI index (World Bank estimate). from http://data.worldbank.org/
World Bank, 2018b. Worldwide governance indicators. from http://info.worldbank.org/governance/
World Bank, 2019. Combating Corruption. from https://www.worldbank.org/en/topic/
Yue, H., 2011. Income Inequality, Economic Growth and Inflation: A Study on Korea. International Journal of Economic Research, 2(5), 14-21.
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