Clavijo-Cortes, Pedro and Robledo-Campo, Jacobo and Mendoza-Tolosa, Henry (2019): A Reassessment of the Relation between Economic Growth and Maldistribution of Income.
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Abstract
This article aims to evaluate the effect of the maldistribution of income on economic growth. From the empirical point of view, the literature on the matter is considerable. However, previous studies have employed the Gini index as a measure of inequality which tends to underestimate income disparities across countries. Because the complexity of inequality has changed over time and due to the Gini index is incapable of capturing the changing nature of distribution, we employ the Palma Ratio instead of the Gini index. The main advantage of employing the Palma Ratio is that it captures the dynamics of inequality and allows us to analyze the roots of this maldistribution. The relationship is estimated employing the methodology of Arellano-Bond for dynamic panels, and the results suggest that maldistribution of income generates a sluggish economic growth. In fact, our results suggest that inequality could be associated with a substantial reduction in growth.
Item Type: | MPRA Paper |
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Original Title: | A Reassessment of the Relation between Economic Growth and Maldistribution of Income |
English Title: | A Reassessment of the Relation between Economic Growth and Maldistribution of Income |
Language: | English |
Keywords: | Palma Ratio, dynamic panels, inequality, economic growth. |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E25 - Aggregate Factor Income Distribution O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O11 - Macroeconomic Analyses of Economic Development O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Empirical Studies of Economic Growth ; Aggregate Productivity ; Cross-Country Output Convergence |
Item ID: | 97049 |
Depositing User: | Jacobo Campo Robledo |
Date Deposited: | 18 Dec 2019 08:14 |
Last Modified: | 18 Dec 2019 08:14 |
References: | Alesina, A. & Rodrik, D. 1994. ‘Distributive Politics and Economic Growth’, The Quarterly Journal of Economics, 109(2), 465–490. Arellano, M. & Bond, S. 1991. ‘Some tests of specification for panel data: montecarlo evidence and an application to employment equations’, Review of Economic Studies, 58(2), 277-297. Arellano, M. & Bover, O. 1995. ‘Another Look at the Instrumental-Variable Estimation of Error-Components Models’, Journal of Econometrics, 68(1), 29-52. Atkinson, A. 1970. ‘On the Measurement of Inequality’, Journal of Economic Theory, 2, 244-263. Barro, R. 1999. ‘Inequality, Growth, and Investment’, NBER, Working Paper 7038. Barro, R. 2000. ‘Inequality and Growth in a Panel of Countries’. Journal of Economic Growth, 5(1), 5-32 Barro, R. 2003. ‘Determinants of Economic Growth in a Panel of Countries’, Annals of Economics and Finance, 4, 231–274 Barro, R. 2008. ‘Inequality and Growth Revisited’, ADB Working Paper Series on Regional Economic Integration, No. 11. Blundell, R. & Bond, S. 1998. ‘Initial conditions and moment restrictions in dynamic panel data models’, Journal of Econometrics, 87, 115-143. Bond, S. 2002. ‘Dynamic panel data models: a guide to micro data methods and practice’, Portuguese Economic Journal, 1(2), 141-162. Bound, J., Jager, D. & Baker, R. 1995. ‘Problem with instrumental variable estimation when the correlation between the instruments and the endogenous explanatory variable is weak’, Journal of the American Statistical Association, 90, 443-450. Ciccone, A. & Jarocinski, M. 2010. ‘Determinants of Economic Growth: Will Data Tell?’, American Economic Journal: Macroeconomics, 2(4), 222-246. Cobham, A., Schlogl, L. & Sumner, A. 2016. ‘Inequality and the Tails: The Palma Proposition and Ratio’, Global Policy, 7(1), 25-36. Cynamon, B. & Fazzari, S. 2016. ‘Inequality, the Great Recession and slow Recovery’, Cambridge Journal of Economics, 40, 373-399. Duménil, G. & Lévy, D. 2018. Managerial Capitalism Ownership, Management and the Coming New Mode of Production, Pluto Press. Feenstra, R., Inklaar, R. & Timmer M. 2015. ‘The Next Generation of the Penn World Table’, American Economic Review, 105(10), 3150-3182. Forbes, K. 2000. ‘A Reassessment of the Relationship between Inequality and Growth’, The American Economic Review, 90(4), 869-887. Galor, O. & Moav, O. 1999. ‘From Physical to Human Capital Accumulation: Inequality in the Process of Development’, CEPR, discussion paper 2307. Gerschenkron, A. 1962. Economic Backwardness in Historical Perspective. Harvard University Press. Goda, T., Onaran, Ö. & Stockhammer, E. 2017. ‘Income Inequality and Wealth Concentration in the Recent Crisis’, Development and Change, 48: 3-27. Institute for Policy Studies. 2017. Billionaire Bonanza. The Forbes 400 and the Rest of US. Washington, DC: Author. Herzer, D. & Vollmer, S. 2012. ‘Inequality and growth: evidence from panel cointegration’, Journal of Economic Inequality, 10, 489-503. Jayadev, A. 2013. Distribution and crisis: reviewing some of the linkages. In G. Epstein and M. Wolfson. (Eds.). Handbook on the Political Economy of Crisis, Oxford, Oxford University Press, pp. 95-112. Kaldor, N. 1957. ‘A Model of Economic Growth’, Economic Journal, 57, 591-624. Lewis, A. 1954. ‘Economic Development with Unlimited Supplies of Labour’, The Manchester School, 22(2), 139-191. Li, H. & Zou, H. 1998. ‘Income Inequality is not Harmful for Growth: Theory and Evidence’, Review of Development Economics, 2(3), 318-334. Palma, G. 2011. ‘Homogeneous Middles vs. Heterogeneous Tails, and the End of the 'Inverted-U': It's All About the Share of the Rich’, Development and Change, 42(1), 87-153. Panizza, U. 2002. ‘Income Inequality and Economic Growth: Evidence from American Data’, Journal of Economic Growth, 7(1), 25-41. Persson, T. & Tabellini, G. 1994. ‘Is Inequality Harmful for Growth?’, The American Economic Review, 84(3), 600-621. Ravallion, M. 2001. ‘Growth, Inequality and Poverty: Looking Beyond Averages’, World Development, 29(11), 1803-1815. Rebelo, S. 1991. ‘Long-Run Policy Analysis and Long-Run Growth’, The Journal of Political Economy, 99(3), 500-521. Roodman, D. 2009. ‘How to do xtabond2: an introduction to difference and system GMM in Stata’, The Stata Journal, 9(1), 86-136. Silva A. & Yakovenko, V. 2005. ‘Temporal evolution of the ‘thermal’ and ‘superthermal’ income classes in the USA during 1983-2001’, Europhysics Letters, 69, 304-310 Stiglitz, J. 2015. ‘8. Inequality and Economic Growth’, The Political Quarterly, 86, 134-155. Stiglitz, J. 2015. The Great Divide: Unequal Societies and What We Can Do About Them, W. W. Norton. Tam, H. 2011. ‘U-shaped female labor participation with economic development: Some panel data evidence’, Economics Letters, 110, 140-142. Voitchovsky, S. 2005. ‘Does the Profile of Income Inequality Matter for Economic Growth?: Distinguishing between the Effects of Inequality in Different Parts of the Income Distribution’, Journal of Economic Growth, 10(3), 273-296. Windmeijer, F. 2005. ‘A finite sample correction for the variance of linear efficient two-step GMM estimators’, Journal of Econometrics, 126, 25-51. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/97049 |