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Parametric variability in cross-country growth regressions: An application of quantile-regression methodology

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  • Ram, Rati

Abstract

Quantile-regression estimates of Solow-type growth models indicate [beta]-convergence rate in the bottom quartile to be much smaller than that for the top quartile. Some other coefficients also show sizable differences. The methodology appears useful for studying the important aspect of parametric differences across high-growth and low-growth countries.

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  • Ram, Rati, 2008. "Parametric variability in cross-country growth regressions: An application of quantile-regression methodology," Economics Letters, Elsevier, vol. 99(2), pages 387-389, May.
  • Handle: RePEc:eee:ecolet:v:99:y:2008:i:2:p:387-389
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    References listed on IDEAS

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    1. Datta, Anusua, 2003. "Time-series tests of convergence and transitional dynamics," Economics Letters, Elsevier, vol. 81(2), pages 233-240, November.
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    Cited by:

    1. Lijuan Huo & Tae-Hwan Kim & Yunmi Kim, 2015. "Revisiting growth empirics based on IV panel quantile regression," Applied Economics, Taylor & Francis Journals, vol. 47(36), pages 3859-3873, August.
    2. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    3. Deng, Wen-Shuenn & Lin, Yi-Chen & Gong, Jinguo, 2012. "A smooth coefficient quantile regression approach to the social capital–economic growth nexus," Economic Modelling, Elsevier, vol. 29(2), pages 185-197.
    4. Mohammadi, Hassan & Ram, Rati, 2012. "Cross-country convergence in energy and electricity consumption, 1971–2007," Energy Economics, Elsevier, vol. 34(6), pages 1882-1887.
    5. Man, Georg, 2014. "Political competition and economic growth: A nonlinear relationship?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 287-302.
    6. Jones, Garett, 2012. "Cognitive skill and technology diffusion: An empirical test," Economic Systems, Elsevier, vol. 36(3), pages 444-460.

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