IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/44744.html
   My bibliography  Save this paper

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

Author

Listed:
  • Soundararajan, Pushparaj

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.

Suggested Citation

  • Soundararajan, Pushparaj, 2013. "Regional income convergence in India: A Bayesian Spatial Durbin Model approach," MPRA Paper 44744, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:44744
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/44744/1/MPRA_paper_44744.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/48453/8/MPRA_paper_48453.pdf
    File Function: revised version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Enrique López-Bazo & Esther Vayá & Manuel Artís, 2004. "Regional Externalities And Growth: Evidence From European Regions," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 43-73.
    2. Roberto Basile, 2008. "Regional economic growth in Europe: A semiparametric spatial dependence approach," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 527-544, November.
    3. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
    4. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
    5. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    6. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    7. Pace, R Kelley & Barry, Ronald & Clapp, John M. & Rodriquez, Mauricio, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
    8. Jesus Lopez-Rodriguez, 2008. "Regional Convergence in the European Union: Results from a Panel Data Model," Economics Bulletin, AccessEcon, vol. 18(2), pages 1-7.
    9. Geweke, J, 1993. "Bayesian Treatment of the Independent Student- t Linear Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 19-40, Suppl. De.
    10. Peter Egger & Michael Pfaffermayr, 2006. "Spatial convergence," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 199-215, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicolas Péridy & Mohamed Hazem & Marc Brunetto, 2013. "Some new insights into real convergence in MENA countries’ regional areas: a spatial econometric analysis," Economics and Business Letters, Oviedo University Press, vol. 2(4), pages 150-160.
    2. Alexandra Schaffar & Nicolas Péridy, 2015. "Exploring spatial convergence of Maghreb regional areas: An application of a Markov chains approach," Economics Bulletin, AccessEcon, vol. 35(3), pages 1848-1855.

    More about this item

    Keywords

    Convergence; Regional; Spatial Durbin Model and Bayesian;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:44744. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.