Income convergence in India: a nonparametric approach

dc.contributor.author	Sofi, Arfat Ahmad
dc.contributor.author	Durai, S. Raja Sethu
dc.date.accessioned	2022-03-27T02:10:35Z
dc.date.available	2022-03-27T02:10:35Z
dc.date.issued	2016-02-01
dc.description.abstract	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.
dc.identifier.citation	Economic Change and Restructuring. v.49(1)
dc.identifier.issn	15739414
dc.identifier.uri	10.1007/s10644-015-9169-3
dc.identifier.uri	http://link.springer.com/10.1007/s10644-015-9169-3
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/4945
dc.subject	Convergence
dc.subject	Growth
dc.subject	India
dc.subject	Kernel density
dc.subject	Panel data
dc.subject	Quintile regression
dc.title	Income convergence in India: a nonparametric approach
dc.type	Journal. Article
dspace.entity.type

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