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Growth Convergence: Some Panel Data Evidence

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  • Lee, M.
  • Longmire, R.
  • Matyas, L.
  • Harris, M.

Abstract

This paper implements a panel data approach of the Solow model to study the phenomenon of growth convergence for 22 OECD countries. It shows that the derived estimable Solow model is probably underspecified from an econometric point of view, it is still possible to conclude that there is a likely convergence to a steady state of a rate about 2-4%.

Suggested Citation

  • Lee, M. & Longmire, R. & Matyas, L. & Harris, M., 1996. "Growth Convergence: Some Panel Data Evidence," Monash Econometrics and Business Statistics Working Papers 14/96, Monash University, Department of Econometrics and Business Statistics.
    • Handle: RePEc:msh:ebswps:1996-14
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    Cited by:

    1. Risti Permani, 2009. "The Role of Education in Economic Growth in East Asia: a survey," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 23(1), pages 1-20, May.
    2. Massimiliano Affinito, 2011. "Convergence clubs, the euro-area rank and the relationship between banking and real convergence," Temi di discussione (Economic working papers) 809, Bank of Italy, Economic Research and International Relations Area.
    3. Mustafa Gömleksiz & Ahmet Şahbaz & Birol Mercan, 2017. "Regional Economic Convergence in Turkey: Does the Government Really Matter for?," Economies, MDPI, vol. 5(3), pages 1-16, July.
    4. Kangasharju, Aki & Pehkonen, Jaakko, 1999. "Employment-output link in Finland: evidence from regional-level data," ERSA conference papers ersa99pa304, European Regional Science Association.
    5. Changkyu Choi, 2004. "Foreign direct investment and income convergence," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1045-1049.
    6. Max Gillman & Mark N. Harris, 2004. "Inflation, Financial Development and Endogenous Growth," Monash Econometrics and Business Statistics Working Papers 24/04, Monash University, Department of Econometrics and Business Statistics.
    7. Stephen Dobson & Carlyn Ramlogan & Eric Strobl, 2006. "Why Do Rates Of Β‐Convergence Differ? A Meta‐Regression Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(2), pages 153-173, May.
    8. Aiello, Francesco & Pupo, Valeria, 2012. "Structural funds and the economic divide in Italy," Journal of Policy Modeling, Elsevier, vol. 34(3), pages 403-418.
    9. Durand, Robert B. & Greene, William H. & Harris, Mark N. & Khoo, Joye, 2022. "Heterogeneity in speed of adjustment using finite mixture models," Economic Modelling, Elsevier, vol. 107(C).
    10. Julia Wörz, 2005. "Skill Intensity in Foreign Trade and Economic Growth," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 32(1), pages 117-144, March.
    11. Mihaela Simionescu, 2015. "The Impact Of Economic Crisis On Inflation Convergence In The European Union. A Panel Data Approach," Journal Articles, Center For Economic Analyses, pages 37-46, June.
    12. Miguel A. Juárez & Mark F. J. Steel, 2010. "Non‐gaussian dynamic bayesian modelling for panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1128-1154, November/.
    13. Lee, Yoon-Jin, 2014. "Testing a linear dynamic panel data model against nonlinear alternatives," Journal of Econometrics, Elsevier, vol. 178(P1), pages 146-166.
    14. Roland-Holst, David, 2004. "CGE Methods for Poverty Incidence Analysis: An Application to Vietnam’s WTO Accession," Conference papers 331305, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    15. Panagiotis Artelaris & Paschalis A. Arvanitidis & George Petrakos, 2011. "Convergence patterns in the world economy: exploring the nonlinearity hypothesis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 38(3), pages 236-252, August.

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    More about this item

    Keywords

    ECONOMIC GROWTH; CONVERGENCE;

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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