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A new look at economic convergence in Europe: a common factor approach

Author

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  • Bettina Becker

    (Department of Economics, Loughborough University, UK)

  • Stephen G. Hall

    (Department of Economics, University of Leicester, UK)

Abstract

We propose a common factor approach to analyse convergence, which we implement using principal components analysis. We show that this method provides a useful new way of approaching the convergence debate. We apply this technique to a data set of monthly exchange rates of the 12 member countries of the European Monetary Union (EMU) over 1970-2001. Our empirical results neatly capture the convergence patterns related to the various regimes from Bretton Woods towards EMU. The UK's Pound Sterling has been on a gradual convergence path to the Euro, although convergence is less progressed than it was for the EMU countries by 1999. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Bettina Becker & Stephen G. Hall, 2009. "A new look at economic convergence in Europe: a common factor approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(1), pages 85-97.
    • Handle: RePEc:ijf:ijfiec:v:14:y:2009:i:1:p:85-97
    DOI: 10.1002/ijfe.364
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    1. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
    2. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    3. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    4. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    5. Connor, Gregory & Korajczyk, Robert A, 1993. "A Test for the Number of Factors in an Approximate Factor Model," Journal of Finance, American Finance Association, vol. 48(4), pages 1263-1291, September.
    6. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    7. Giavazzi, Francesco & Spaventa, Luigi, 1990. "The `New' EMS," CEPR Discussion Papers 369, C.E.P.R. Discussion Papers.
    8. repec:bla:etrans:v:11:y:2003-03:i:1:p:177-196 is not listed on IDEAS
    9. Iikka Korhonen, 2003. "Some empirical tests on the integration of economic activity between the euro area and the accession countries," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(1), pages 177-196, March.
    10. Richard Portes, 1993. "EMS and EMU After the Fall," The World Economy, Wiley Blackwell, vol. 16(1), pages 1-15, January.
    11. Barry Eichengreen & Charles Wyplosz, 1993. "The Unstable EMS," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 24(1), pages 51-144.
    12. Eickmeier, Sandra, 2005. "Common stationary and non-stationary factors in the euro area analyzed in a large-scale factor model," Discussion Paper Series 1: Economic Studies 2005,02, Deutsche Bundesbank.
    13. Boivin, Jean & Ng, Serena, 2006. "Are more data always better for factor analysis?," Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
    14. T. Anderson, 1963. "The use of factor analysis in the statistical analysis of multiple time series," Psychometrika, Springer;The Psychometric Society, vol. 28(1), pages 1-25, March.
    15. Hall, Stephen G & Robertson D & Wickens, M R, 1997. "Measuring Economic Convergence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(2), pages 131-143, April.
    16. Eickmeier, Sandra & Breitung, Jorg, 2006. "How synchronized are new EU member states with the euro area? Evidence from a structural factor model," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 538-563, September.
    17. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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    Cited by:

    1. M. J. Aziakpono & S. Kleimeier & H. Sander, 2012. "Banking market integration in the SADC countries: evidence from interest rate analyses," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3857-3876, October.
    2. Jana Riedel, 2020. "On real interest rate convergence among G7 countries," Empirical Economics, Springer, vol. 59(2), pages 599-626, August.
    3. Becker, Bettina & Hall, Stephen G., 2009. "How far from the Euro Area? Measuring convergence of inflation rates in Eastern Europe," Economic Modelling, Elsevier, vol. 26(4), pages 788-798, July.
    4. B Harrison & W Moore, 2010. "Stock Market Co-Movement in the Caribbean," Economic Issues Journal Articles, Economic Issues, vol. 15(1), pages 1-15, March.
    5. Stephen Hall & Sérgio Lagoa, 2014. "Inflation and Business Cycle Convergence in the Euro Area: Empirical Analysis Using an Unobserved Component Model," Open Economies Review, Springer, vol. 25(5), pages 885-908, November.

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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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