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Competing models of global dynamics: Evidence from panel models with spatially correlated error components

  • Fingleton, Bernard

This paper considers two competing theories with differing implications for the long run dynamics of the global economy, neoclassical theory, implying conditional convergence, and New Economic Geography, implying multiple equilibria. These rival non-nested hypotheses are combined within an artificial nesting, panel data, model, embodying a spatial autoregressive error process allowing for unmodelled inter-country heterogeneity and spatially dependent errors, and tested using a panel of 77 countries over the years 1970, 1980, 1990 and 2000. The New Economic Geography theory is shown to have superior explanatory power, but it also introduces some significant problems of estimation and measurement.

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Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 25 (2008)
Issue (Month): 3 (May)
Pages: 542-558

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Handle: RePEc:eee:ecmode:v:25:y:2008:i:3:p:542-558
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  1. Giordano Mion, 2004. "Spatial externalities and empirical analysis: the case of Italy," LSE Research Online Documents on Economics 42663, London School of Economics and Political Science, LSE Library.
  2. Gordon H. Hanson, 1998. "Market Potential, Increasing Returns, and Geographic Concentration," NBER Working Papers 6429, National Bureau of Economic Research, Inc.
  3. Head, Keith & Mayer, Thierry, 2006. "Regional wage and employment responses to market potential in the EU," Regional Science and Urban Economics, Elsevier, vol. 36(5), pages 573-594, September.
  4. Stephen Redding & Anthony J. Venables, 2001. "Economic Geography and International Inequality," CEP Discussion Papers dp0495, Centre for Economic Performance, LSE.
  5. Robert J. Barro & Jong-Wha Lee, 2000. "International Data on Educational Attainment: Updates and Implications," CID Working Papers 42, Center for International Development at Harvard University.
  6. 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.
  7. Georges Bresson & Badi H. Baltagi & Alain Pirotte, 2007. "Panel unit root tests and spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 339-360.
  8. Pesaran, M. H. & Weeks, M., 1999. "Non-nested Hypothesis Testing: An Overview," Cambridge Working Papers in Economics 9918, Faculty of Economics, University of Cambridge.
  9. Bernard Fingleton, 2006. "The new economic geography versus urban economics: an evaluation using local wage rates in Great Britain," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 501-530, July.
  10. Chang, Yoosoon, 2002. "Nonlinear IV Unit Root Tests in Panels with Cross-Sectional Dependency," Working Papers 2000-08, Rice University, Department of Economics.
  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. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-33, May.
  13. Steven Brakman & Harry Garretsen & Marc Schramm, 2005. "Putting New Economic Geography to the Test: Free-ness of Trade and Agglomeration in the EU Regions," CESifo Working Paper Series 1566, CESifo Group Munich.
  14. Jones, Charles I, 1997. "Convergence Revisited," Journal of Economic Growth, Springer, vol. 2(2), pages 131-53, July.
  15. Thierry Mayer & Keith Head, 2003. "The Empirics of Agglomeration and Trade," Working Papers 2003-15, CEPII research center.
  16. S. Brakman & H Garretsen & M. Schramm, 2003. "The Strategic Bombing of German Cities during World War II and its Impact for Germany," Working Papers 03-08, Utrecht School of Economics.
  17. T. Knaap, 2005. "Trade, location, and wages in the United States," Working Papers 05-30, Utrecht School of Economics.
  18. Maarten Bosker & Harry Garretsen, 2007. "Trade Costs, Market Access and Economic Geography: Why the Empirical Specification of Trade Costs Matters," CESifo Working Paper Series 2071, CESifo Group Munich.
  19. Godfrey, Leslie G, 1983. "Testing Non-Nested Models after Estimation by Instrumental Variables or Least Squares," Econometrica, Econometric Society, vol. 51(2), pages 355-65, March.
  20. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, December.
  21. Lant Pritchett, 1997. "Divergence, Big Time," Journal of Economic Perspectives, American Economic Association, vol. 11(3), pages 3-17, Summer.
  22. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
  23. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
  24. Badi H. Baltagi & James M. Griffin & Weiwen Xiong, 2000. "To Pool Or Not To Pool: Homogeneous Versus Hetergeneous Estimations Applied to Cigarette Demand," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 117-126, February.
  25. Laura Hering & Sandra Poncet, 2006. "Market Access Impact on Individual Wage: Evidence from China," Working Papers 2006-23, CEPII research center.
  26. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-38, December.
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