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Conditional convergence and the dynamics of the capital-output ratio

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  • Kieran McQuinn
  • Karl Whelan

Abstract

Output per worker can be expressed as a function of technological efficiency and of the capital-output ratio. Because technology is exogenous in the Solow model, all of the endogenous convergence dynamics take place through the adjustment of the capital-output ratio. This paper uses the empirical behavior of the capital-output ratio to estimate the speed of conditional convergence of economies towards their steady-state paths. We find that the conditional convergence speed is about seven percent per year. This is somewhat faster than predicted by the Solow model and is significantly higher than reported in most previous studies based on output per worker regressions. We show that, once there are stochastic shocks to technology, standard panel econometric techniques produce downward-biased estimates of convergence speeds, while our approach does not. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Kieran McQuinn & Karl Whelan, 2007. "Conditional convergence and the dynamics of the capital-output ratio," Journal of Economic Growth, Springer, vol. 12(2), pages 159-184, June.
  • Handle: RePEc:kap:jecgro:v:12:y:2007:i:2:p:159-184
    DOI: 10.1007/s10887-007-9013-3
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    2. Bloom, David E. et.al., 2013. "Economic impact of non-communicable disease in China and India: Estimates, projections and comparisons," Working Papers 300, Institute for Social and Economic Change, Bangalore.
    3. Michael Gerfin & Boris Kaiser, 2010. "The Effects of Immigration on Wages: An Application of the Structural Skill-Cell Approach," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(IV), pages 709-739, December.
    4. Krasnopjorovs, Olegs, 2013. "Latvijas ekonomikas izaugsmi noteicošie faktori [Factors of Economic Growth in Latvia]," MPRA Paper 47550, University Library of Munich, Germany.
    5. Cristina D. Checherita, 2009. "Variations on economic convergence: The case of the United States," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 259-278, June.
    6. Christian Groth & Ronald Wendner, 2011. "Learning by Investing, Embodiment, and Speed of Convergence," EPRU Working Paper Series 2011-01, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    7. Iulia Andreea BUCUR & Oana Ancuta STANGACIU, 2015. "The European Union Convergence In Terms Of Economic And Human Development," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 7(2), pages 256-275, August.
    8. Michael Paffermayr, 2009. "Spatial Convergence of Regions Revisited: A Spatial Maximum Likelihood Systems Approach," Working Papers 2009-07, Faculty of Economics and Statistics, Universität Innsbruck.
    9. Bayraktar-Sağlam, Bahar & Yetkiner, Hakan, 2014. "A Romerian contribution to the empirics of economic growth," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 257-272.
    10. Mardi Dungey & Denise R. Osborn, 2020. "The Gains from Catch‐up for China and the USA: An Empirical Framework," The Economic Record, The Economic Society of Australia, vol. 96(314), pages 350-365, September.
    11. Groth, Christian & Wendner, Ronald, 2014. "Embodied learning by investing and speed of convergence," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 245-269.
    12. Norman Maynard, 2016. "Long-Run Growth Differences and the Neoclassical Growth Model," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 574-583, September.
    13. Huang, Zongye, 2011. "The Decline of the U.S. Manufacturing: An Explanation from Structural Change," MPRA Paper 29919, University Library of Munich, Germany.
    14. Fischer, Lorenz Benedikt & Pfaffermayr, Michael, 2018. "The more the merrier? Migration and convergence among European regions," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 103-114.
    15. McGuinness, Anne, 2007. "Institutions and Total Factor Productivity Convergence," Research Technical Papers 9/RT/07, Central Bank of Ireland.
    16. Bloom, David E. & Cafiero-Fonseca, Elizabeth T. & McGovern, Mark E. & Prettner, Klaus & Stanciole, Anderson & Weiss, Jonathan & Bakkila, Samuel & Rosenberg, Larry, 2014. "The macroeconomic impact of non-communicable diseases in China and India: Estimates, projections, and comparisons," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 100-111.
    17. Adalmir Marquetti & Luiz Eduardo Ourique & Henrique Morrone, 2020. "A Classical-Marxian Growth Model of Catching Up and the Cases of China, Japan, and India: 1980–2014," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(2), pages 312-334, June.
    18. Spruk, Rok, 2011. "Productivity and income convergence in transition: theory and evidence from Central Europe," MPRA Paper 33389, University Library of Munich, Germany.
    19. Rui Hao, 2008. "Opening up, Market Reform, and Convergence Clubs in China," Asian Economic Journal, East Asian Economic Association, vol. 22(2), pages 133-160, June.

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    More about this item

    Keywords

    Convergence; Solow Model; Panel Data; O41; O30; C23;
    All these keywords.

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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