Another empirical look at the Kuznets curve
This paper examines the functional relationships between income inequality, economic factors, institutions, and Kuznets’ inverted-U hypothesis. A model that ncorporates interactive as well as direct effects of several factors to capture their combined effect on inequality is developed. The model is estimated using two popular measures of inequality—the Gini coefficient, and the ratio of income shares in income distribution—using a panel data set for 57 countries from 1987 to 2006. The results provide support for Kuznets' hypothesis; however, the relationship between growth and inequality is conditioned by a host of economic and institutional factors.
Volume (Year): 3 (2010)
Issue (Month): 2 (December)
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- Ravallion, Martin & Chen, Shaohua, 1997.
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- Joseph Francois & Hugo Rojas-Romagosa, 2007. "The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets," IIDE Discussion Papers 20070805, Institue for International and Development Economics.
- Francois, Joseph F. & Rojas-Romagosa, Hugo, 2005. "The construction and interpretation of combined cross-section and time-series inequality datasets," Policy Research Working Paper Series 3748, The World Bank.
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- Mattias Lundberg & Lyn Squire, 2003. "The simultaneous evolution of growth and inequality," Economic Journal, Royal Economic Society, vol. 113(487), pages 326-344, 04.
- Lopez , J. Humberto & Perry, Guillermo, 2008. "Inequality in Latin America : determinants and consequences," Policy Research Working Paper Series 4504, The World Bank. Full references (including those not matched with items on IDEAS)
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