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Growth Convergence: Some Panel Data Evidence

Author

Listed:
  • 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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    References listed on IDEAS

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    1. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-1036, July.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, Oxford University Press, vol. 106(2), pages 407-443.
    4. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-1055, July.
    5. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    6. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    7. Crepon, Bruno & Kramarz, Francis & Trognon, Alain, 1997. "Parameters of interest, nuisance parameters and orthogonality conditions An application to autoregressive error component models," Journal of Econometrics, Elsevier, vol. 82(1), pages 135-156.
    8. Galor, Oded, 1996. "Convergence? Inferences from Theoretical Models," Economic Journal, Royal Economic Society, vol. 106(437), pages 1056-1069, July.
    9. Quah, Danny, 1996. "Twin peaks : growth and convergence in models of distribution dynamics," LSE Research Online Documents on Economics 2278, London School of Economics and Political Science, LSE Library.
    10. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    11. Mark N. Harris & Weiping Kostenko & László Mátyás & Isfaaq Timol, 2009. "The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(03), pages 399-426.
    12. Walter Nonneman & Patrick Vanhoudt, 1996. "A Further Augmentation of the Solow Model and the Empirics of Economic Growth for OECD Countries," The Quarterly Journal of Economics, Oxford University Press, vol. 111(3), pages 943-953.
    13. Sevestre, P. & Trognon, A., 1985. "A note on autoregressive error components models," Journal of Econometrics, Elsevier, vol. 28(2), pages 231-245, May.
    14. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    15. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
    16. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    17. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    18. Harris, M.N. & Matyas, L., 1996. "A Comparative Analysis of Different Estimatiors for Dynamic Panel data Models," Monash Econometrics and Business Statistics Working Papers 4/96, Monash University, Department of Econometrics and Business Statistics.
    19. Amemiya, Takeshi & MaCurdy, Thomas E, 1986. "Instrumental-Variable Estimation of an Error-Components Model," Econometrica, Econometric Society, vol. 54(4), pages 869-880, July.
    20. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    21. Wansbeek, Tom & Bekker, Paul, 1996. "On IV, GMM and ML in a dynamic panel data model," Economics Letters, Elsevier, vol. 51(2), pages 145-152, May.
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    Citations

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    Cited by:

    1. Lee, Yoon-Jin, 2014. "Testing a linear dynamic panel data model against nonlinear alternatives," Journal of Econometrics, Elsevier, vol. 178(P1), pages 146-166.
    2. 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.
    3. 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/.
    4. Changkyu Choi, 2004. "Foreign direct investment and income convergence," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1045-1049.
    5. 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.
    6. Aiello, Francesco & Pupo, Valeria, 2012. "Structural funds and the economic divide in Italy," Journal of Policy Modeling, Elsevier, vol. 34(3), pages 403-418.
    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. Kangasharju, Aki & Pehkonen, Jaakko, 1999. "Employment-output link in Finland: evidence from regional-level data," ERSA conference papers ersa99pa304, European Regional Science Association.
    9. 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, vol. 38(3), pages 236-252, August.
    10. Risti Permani, 2009. "The Role of Education in Economic Growth in East Asia: a survey," Asian-Pacific Economic Literature, Asia Pacific School of Economics and Government, The Australian National University, vol. 23(1), pages 1-20, May.
    11. 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.
    12. Mustafa Gömleksiz & Ahmet Şahbaz & Birol Mercan, 2017. "Regional Economic Convergence in Turkey: Does the Government Really Matter for?," Economies, MDPI, Open Access Journal, vol. 5(3), pages 1-1, July.
    13. 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.

    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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