Income convergence in India: a nonparametric approach
This study tests the convergence hypothesis across 22 Indian states for the time period from 1980–1981 to 2010–2011. Using second order Gaussian Kernel density function, results reveal a multi-modal behavior of income distribution with significant signs of club formation across different income stra...
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Veröffentlicht in: | Economic change and restructuring 2016-02, Vol.49 (1), p.23-40 |
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description | This study tests the convergence hypothesis across 22 Indian states for the time period from 1980–1981 to 2010–2011. Using second order Gaussian Kernel density function, results reveal a multi-modal behavior of income distribution with significant signs of club formation across different income strata over the transitional process. The results from quantile estimation shows that Indian states are diverging in absolute sense however converging on conditional basis. Moving from lower to higher quantile the strength of absolute divergence weakens whereas the conditional convergence is getting stronger. |
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subjects | Convergence Datasets Development Economics Economic Growth Economic models Economic Policy Economic statistics Economic theory Economics Economics and Finance Estimates Hypotheses Income Income distribution India International Economics Macroeconomics/Monetary Economics//Financial Economics Per capita Political Economy/Economic Systems Studies Time series |
title | Income convergence in India: a nonparametric approach |
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