IDEAS home Printed from
   My bibliography  Save this article

On the potential pitfalls in estimating β-convergence by means of pooled and panel data


  • Carluccio Bianchi
  • Mario Menegatti


We show that the use of pooled and panel data in estimating β-convergence across countries (or other territorial areas) may involve some pitfalls, since these techniques cannot properly distinguish between actual convergence and the possibility of decreasing growth rates over time within each country (or territorial unit). We also show how the possible bias in the estimates can be eliminated.

Suggested Citation

  • Carluccio Bianchi & Mario Menegatti, 2007. "On the potential pitfalls in estimating β-convergence by means of pooled and panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 14(13), pages 963-967.
  • Handle: RePEc:taf:apeclt:v:14:y:2007:i:13:p:963-967 DOI: 10.1080/13504850600705968

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Tamim Bayoumi & Barry Eichengreen, 1997. "Is Regionalism Simply a Diversion? Evidence from the Evolution of the EC and EFTA," NBER Chapters,in: Regionalism versus Multilateral Trade Arrangements, NBER-EASE Volume 6, pages 141-168 National Bureau of Economic Research, Inc.
    2. Bergstrand, Jeffrey H, 1985. "The Gravity Equation in International Trade: Some Microeconomic Foundations and Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 474-481, August.
    3. Laszlo Matyas, 1997. "Proper Econometric Specification of the Gravity Model," The World Economy, Wiley Blackwell, vol. 20(3), pages 363-368, May.
    4. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    5. I-Hui Cheng & Howard J. Wall, 2005. "Controlling for heterogeneity in gravity models of trade and integration," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 49-63.
    6. Alan Deardorff, 1998. "Determinants of Bilateral Trade: Does Gravity Work in a Neoclassical World?," NBER Chapters,in: The Regionalization of the World Economy, pages 7-32 National Bureau of Economic Research, Inc.
    7. Bergstrand, Jeffrey H, 1989. "The Generalized Gravity Equation, Monopolistic Competition, and the Factor-Proportions Theory in International Trade," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 143-153, February.
    8. Sanso, Marcos & Cuairan, Rogelio & Sanz, Fernando, 1993. "Bilateral Trade Flows, the Gravity Equation, and Functional Form," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 266-275, May.
    9. David Hummels & James Levinsohn, 1995. "Monopolistic Competition and International Trade: Reconsidering the Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 110(3), pages 799-836.
    10. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    11. Griffiths, William E., 1971. "Estimation Of Actual Response Coefficients In The Hildreth-Houck Random Coefficient Model," Staff Papers 14275, University of Minnesota, Department of Applied Economics.
    12. James E. Anderson & Douglas Marcouiller, 1999. "Trade, Insecurity, and Home Bias: An Empirical Investigation," NBER Working Papers 7000, National Bureau of Economic Research, Inc.
    13. Baier, Scott L. & Bergstrand, Jeffrey H., 2001. "The growth of world trade: tariffs, transport costs, and income similarity," Journal of International Economics, Elsevier, vol. 53(1), pages 1-27, February.
    14. Anderson, James E, 1979. "A Theoretical Foundation for the Gravity Equation," American Economic Review, American Economic Association, vol. 69(1), pages 106-116, March.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. De Siano, Rita & D'Uva, Marcella, 2009. "Regional convergence in Italy: time series approaches," MPRA Paper 20397, University Library of Munich, Germany.
    2. Carluccio Bianchi & Federica Calidoni & Mario Menegatti, 2009. "Pitfalls in estimating β-convergence by means of panel data: an empirical test," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 56(4), pages 347-357, December.

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:14:y:2007:i:13:p:963-967. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.