Revisiting Kuznets Hypothesis: A Time Series and Panel Data Approach
Bangladesh Development Studies, Vol. 30, Nos. 3-4, pp. 89-112, 2004
32 Pages Posted: 26 Aug 2008 Last revised: 2 Jan 2012
Date Written: 2004
Abstract
Significant impact of economic growth on poverty alleviation is eroded by high income inequality. This article revisits Kuznets Hypothesis which suggested that inequality and growth have an inverted U shaped relationship. This article differs from previous articles on this subject, by being broader in scope although remaining exploratory in nature. The article uses log quadratic model and level quadratic model, autoregressive time series analysis and panel analysis, expands the database by covering a time period 1963-1999, and a comparative time-series analysis using the augmented D-S inequality dataset (EHII2.3) and UTIP-UNIDO dataset as proposed by James K. Galbraith and Hyunsub Kum.
Keywords: Kuznets Curve, UTIP UNIDO, EHII2.3, Income Inequality
JEL Classification: O1
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
By David Dollar and Aart Kraay
-
Growth Still is Good for the Poor
By David Dollar, Tatjana Kleineberg, ...
-
What Can New Survey Data Tell Us About Recent Changes in Distribution and Poverty?
By Martin Ravallion and Shaohua Chen
-
By David Dollar and Aart Kraay
-
How Did the World's Poorest Fare in the 1990s?
By Shaohua Chen and Martin Ravallion
-
Inequality and Growth: What Can the Data Say?
By Abhijit V. Banerjee and Esther Duflo
-
Inequality and Growth: What Can the Data Say?
By Abhijit V. Banerjee and Esther Duflo
-
True World Income Distribution, 1988 and 1993: First Calculation Based on Household Surveys Alone