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Re-examination of convergence hypothesis among Indian states in panel stationarity testing framework with structural breaks

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  • Ankita Mishra
  • Vinod Mishra

Abstract

This article examines the conditional income convergence hypothesis for 17 major states in India for the period of 1960–2012. Univariate stationarity tests without structural breaks provide evidence against the convergence hypothesis. However, when two or more structural breaks are applied in per capita income series, the incomes of around 11–13 states are found to stochastically converge to the national average. This finding supports the convergence hypothesis for the panel as a whole after accounting for two data features, cross-sectional dependence and structural breaks in incomes, using a unified panel stationarity testing framework.

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  • Ankita Mishra & Vinod Mishra, 2018. "Re-examination of convergence hypothesis among Indian states in panel stationarity testing framework with structural breaks," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 268-286, January.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:3:p:268-286
    DOI: 10.1080/00036846.2017.1319559
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    Cited by:

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    6. Biswa Swarup Misra & Saban Nazlioglu & Ilhan Kucukkaplan, 2022. "Sources of divergence in income in Indian states, 2001–2015," Development Policy Review, Overseas Development Institute, vol. 40(4), July.
    7. Oguzhan Ozcelik, 2022. "Does the Foreign Trade-Driven Competitive Power of Transition Economies Converge Toward that of EU14 Countries? Evidence from Fourier Panel Unit Root Test with Sharp and Smooth Breaks," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(36), pages 257-282, June.
    8. Gökhan KONAT & Mustafa Gökçe & Fatma Kızılkaya, 2019. "AB Ülkelerinin Yakınsaması: Suradf ve Surkss Birim Kök Testi," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 31(0), pages 63-75, December.
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