Regional income convergence in India: A Bayesian Spatial Durbin Model approach

Pushparaj Soundararajan

MPRA Paper from University Library of Munich, Germany

Abstract: A debate on the regional disparity is always an interesting topic. This study analysed the regional income disparity in India during 1980 – 2010, which contains pre, early and later reform periods. The study used per capita GSDP data from Central Statistical Organisation. First, the study reviewed various growth models and suggests that spatial durbin model of Fingleton and Lopez-Bazo(2006) is empirically useful. Second, this study estimated parameters of Bayesian Spatial Durbin Model and disscussed the convergence hypothesis in the light of LeSange and Fischer (2008) formulation. The study concludes that the later reform period has witnessed beta convergence due to feedback effect.

Keywords: Convergence; Regional; Spatial Durbin Model and Bayesian (search for similar items in EconPapers)
JEL-codes: C11 C21 R12 (search for similar items in EconPapers)
Date: 2013-03-05
New Economics Papers: this item is included in nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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https://mpra.ub.uni-muenchen.de/48453/8/MPRA_paper_48453.pdf revised version (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:44744

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