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Testing for Convergence Clubs in Income Per-Capita: A Predictive Density Approach

Author

Listed:
  • Canova, Fabio
Abstract
The paper proposes a technique to jointly tests for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data, conditional on the parameters of the model. The steady state distribution of European regional data clusters around four poles of attraction with different economic features. The distribution of income per-capita of OECD countries has two poles of attraction and each group has clearly identifiable economics characteristics. In diesem Beitrag wird eine Methode vorgestellt, mit der es möglich ist, Gruppierungen von Querschnittsdaten von zunächst unbekanntem Umfang vorzunehmen und gleichzeitig die Parameterwerte jeder Gruppe zu schätzen. Diese Methode wird genutzt, um regionale Konvergenzclubs hinsichtlich des Pro-Kopf-Einkommens zu identifizieren. Im Falle europäischer Regionaldaten zeigt sich eine Steady-state Verteilung von vier Polen mit jeweils unterschiedlicher ökonomischer Ausprägung. Die Pro-Kopf- Einkommen der OECD Länder gruppieren sich um zwei Pole, wobei jede Gruppe deutlich unterscheidbare Merkmale aufweist.

Suggested Citation

  • Canova, Fabio, 2001. "Testing for Convergence Clubs in Income Per-Capita: A Predictive Density Approach," Discussion Paper Series 26361, Hamburg Institute of International Economics.
    • Handle: RePEc:ags:hwwadp:26361
    DOI: 10.22004/ag.econ.26361
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    References listed on IDEAS

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    1. Paapaa, Richard & van Dijk, Herman K., 1998. "Distribution and mobility of wealth of nations," European Economic Review, Elsevier, vol. 42(7), pages 1269-1293, July.
    2. Desdoigts, Alain, 1999. "Patterns of Economic Development and the Formation of Clubs," Journal of Economic Growth, Springer, vol. 4(3), pages 305-330, September.
    3. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    4. Oded Galor & Joseph Zeira, 1993. "Income Distribution and Macroeconomics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 35-52.
    5. Quah, Danny T., 1996. "Regional convergence clusters across Europe," European Economic Review, Elsevier, vol. 40(3-5), pages 951-958, April.
    6. Barro, Robert J & Becker, Gary S, 1989. "Fertility Choice in a Model of Economic Growth," Econometrica, Econometric Society, vol. 57(2), pages 481-501, March.
    7. Bernard, Andrew B. & Durlauf, Steven N., 1996. "Interpreting tests of the convergence hypothesis," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 161-173.
    8. Phillips, Peter C.B. & Ploberger, Werner, 1994. "Posterior Odds Testing for a Unit Root with Data-Based Model Selection," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 774-808, August.
    9. Galor, Oded, 1996. "Convergence? Inferences from Theoretical Models," Economic Journal, Royal Economic Society, vol. 106(437), pages 1056-1069, July.
    10. Ben-David, Dan, 1994. "Convergence Clubs and Diverging Economies," CEPR Discussion Papers 922, C.E.P.R. Discussion Papers.
    11. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    12. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-384, Oct.-Dec..
    13. Wolfgang Polasek, "undated". "Structural Breaks and VAR Modeling with Marginal Likelihoods," Computing in Economics and Finance 1997 50, Society for Computational Economics.
    14. Fabio Canova & Albert Marcet, 1995. "The poor stay poor: Non-convergence across countries and regions," Economics Working Papers 137, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 1999.
    15. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    16. Forni, Mario & Reichlin, Lucrezia, 1995. "Let's Get Real: A Dynamic Factor Analytical Approach to Disaggregated Business Cycle," CEPR Discussion Papers 1244, C.E.P.R. Discussion Papers.
    17. Bai, Jushan, 1997. "Estimating Multiple Breaks One at a Time," Econometric Theory, Cambridge University Press, vol. 13(3), pages 315-352, June.
    18. repec:cup:etheor:v:10:y:1994:i:3-4:p:774-808 is not listed on IDEAS
    19. Quah, Danny, 1996. "Regional Convergence Clusters Across Europe," CEPR Discussion Papers 1286, C.E.P.R. Discussion Papers.
    20. Quah, Danny T, 1996. "Convergence Empirics across Economies with (Some) Capital Mobility," Journal of Economic Growth, Springer, vol. 1(1), pages 95-124, March.
    21. Costas Azariadis & Allan Drazen, 1990. "Threshold Externalities in Economic Development," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(2), pages 501-526.
    22. Ploberger, Werner & Kramer, Walter & Kontrus, Karl, 1989. "A new test for structural stability in the linear regression model," Journal of Econometrics, Elsevier, vol. 40(2), pages 307-318, February.
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    More about this item

    Keywords

    International Development;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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