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Distribution Dynamics and Cross‐Country Convergence: A New Approach

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  • Sandra Bulli

Abstract

Distribution dynamics is a method for studying the evolution in time of an entire cross‐section distribution and has been initially employed to assess cross‐country convergence of per capita incomes. It has subsequently seen a widespread application in many different economic areas. When describing the law of motion of the distribution as a Markovian stochastic process, working in a discrete state‐space set up has several advantages, but the arbitrary discretisation of a continuous state‐space process has the undesired effect of removing the Markov property. This paper outlines a rigorous method for discretising a continuous state‐space Markov chain. The method is then applied to the distribution of per capita income across countries to reassess the (non‐) convergence phenomenon. It is found that the long run polarisation of per capita incomes across countries emerges even more dramatically than in previous studies.

Suggested Citation

  • Sandra Bulli, 2001. "Distribution Dynamics and Cross‐Country Convergence: A New Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(2), pages 226-243, May.
    • Handle: RePEc:bla:scotjp:v:48:y:2001:i:2:p:226-243
    DOI: 10.1111/1467-9485.00196
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    Cited by:

    1. Anca Carrington, 2006. "Regional Convergence in the European Union: A Stochastic Dominance Approach," International Regional Science Review, , vol. 29(1), pages 64-80, January.
    2. Mariano Bosch Mossi & Patricio Aroca & Ismael J. FernáNDEZ & Carlos Roberto Azzoni, 2003. "Growth Dynamics and Space in Brazil," International Regional Science Review, , vol. 26(3), pages 393-418, July.
    3. Wu, Jian-Xin & He, Ling-Yun & Zhang, ZhongXiang, 2022. "On the co-evolution of PM2.5 concentrations and income in China: A joint distribution dynamics approach," Energy Economics, Elsevier, vol. 105(C).
    4. Frank Bickenbach & Eckhardt Bode, 2003. "Evaluating the Markov Property in Studies of Economic Convergence," International Regional Science Review, , vol. 26(3), pages 363-392, July.
    5. Pauhofová, Iveta & Želinský, Tomáš, 2017. "On the Regional Convergence of Income at District Level in Slovakia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 65(10), pages 918-934.
    6. Sulekha Hembram & Souparna Maji & Sushil Kr. Haldar, 2019. "Club Convergence among the Major Indian States During 1982–2014: Does Investment in Human Capital Matter?," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 20(2), pages 184-204, September.
    7. Declan Curran & Michael Funke & Jue Wang, 2007. "Economic Growth across Space and Time: subprovincial Evidence from Mainland China," Quantitative Macroeconomics Working Papers 20710, Hamburg University, Department of Economics.
    8. Paul Bishop & Peter Gripaios, 2005. "Patterns Of Persistence And Mobility In Gdp Per Head Across Gb Counties," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 96(5), pages 529-540, December.
    9. Sulekha Hembram & Sushil Kr. Haldar, 2020. "Is India experiencing health convergence? An empirical analysis," Economic Change and Restructuring, Springer, vol. 53(4), pages 591-618, November.

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