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
Hauptverfasser: Sofi, Arfat Ahmad, Durai, S. Raja Sethu
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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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source SpringerLink Journals - AutoHoldings; EBSCOhost Business Source Complete
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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