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Dynamic panel data evidence on the trade-income relation

  • Felbermayr, Gabriel

This paper revisits the relationship between a country’s openness and its per capita income. Building on Frankel and Romer, it argues that a dynamic econometric specification similar to the ones used in empirical growth studies better fits the theoretical literature and also resolves some otherwise unresolved inconsistencies. The preferred econometric method is Blundell and Bond’s system-GMM estimator, which allows dealing with measurement error, weak instruments, and time-invariant country-specific effects. The findings confirm the existence of a strong effect of trade on income but fail to find evidence for trade as an independent factor of divergence.

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Paper provided by University of Munich, Department of Economics in its series Munich Reprints in Economics with number 20647.

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Date of creation: 2005
Date of revision:
Publication status: Published in Review of World Economics 4 141(2005): pp. 583-611
Handle: RePEc:lmu:muenar:20647
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  1. Daron Acemoglu & Jaume Ventura, 2002. "The World Income Distribution," The Quarterly Journal of Economics, MIT Press, vol. 117(2), pages 659-694, May.
  2. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  3. Ross Levine & Norman Loayza & Thorsten Beck, 2002. "Financial Intermediation and Growth: Causality and Causes," Central Banking, Analysis, and Economic Policies Book Series, in: Leonardo Hernández & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.), Banking, Financial Integration, and International Crises, edition 1, volume 3, chapter 2, pages 031-084 Central Bank of Chile.
  4. Gabriel Felbermayr, 2004. "Specialization on a technologically atagnant aector need not be bad for growth," Economics working papers 2004-02, Department of Economics, Johannes Kepler University Linz, Austria.
  5. Islam, Nazrul, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 1127-70, November.
  6. Francisco Alcalá & Antonio Ciccone, 2004. "Trade and Productivity," The Quarterly Journal of Economics, MIT Press, vol. 119(2), pages 612-645, May.
  7. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May.
  8. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
  9. Francesco Caselli & Gerardo Esquivel & Fernando Lefort, 1997. "Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Working Papers Central Bank of Chile 03, Central Bank of Chile.
  10. Barro, Robert J & Lee, Jong Wha, 1996. "International Measures of Schooling Years and Schooling Quality," American Economic Review, American Economic Association, vol. 86(2), pages 218-23, May.
  11. Benhabib, Jess & Spiegel, Mark M, 2000. " The Role of Financial Development in Growth and Investment," Journal of Economic Growth, Springer, vol. 5(4), pages 341-60, December.
  12. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  13. David H. Romer & Jeffrey A. Frankel, 1999. "Does Trade Cause Growth?," American Economic Review, American Economic Association, vol. 89(3), pages 379-399, June.
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