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A Time Series Test of Regional Convergence in the USA with Dynamic Panel Models, 1972-1998

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  • Sedgley, N.
  • Elmslie, B.
Abstract
A good deal of controversy surrounds the empirical regularity of convergence. If capital’s share is taken to be 1/3, as in national accounts, then convergence should occur at a much faster rate than observed. Problems are worse if the economy is open. With perfect capital mobility convergence should occur at an infinite rate. Convergence estimates appear to be as slow for state economies as for national economies, even though the assumption of perfect capital mobility is a closer approximation of reality for these economies. Some argue that other variables, most prominently human capital, must be included in any cross sectional estimation of convergence. Supposedly, this addition of variables can bring the implied rate of convergence in line with empirical estimates by controlling for differences in the steady state level of per capita income. This paper extends the analysis of Islam (1995) to US states by estimating dynamic panel data models. This is a more appropriate method of allowing for different steady states. We find that the data suggests states converge very quickly, implying a high degree of capital mobility, if each state economy is allowed to have its own steady state captured through its own fixed effect. These results demonstrate the pitfalls of applying closed economy models to study growth in very open economies and the dangers of adding variables to the estimation which have, at best, only a weak relationship to differential steady states.

Suggested Citation

  • Sedgley, N. & Elmslie, B., 2004. "A Time Series Test of Regional Convergence in the USA with Dynamic Panel Models, 1972-1998," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 4(2).
    • Handle: RePEc:eaa:eerese:v:4:y2004:i:4_8
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    References listed on IDEAS

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    1. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
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    4. Holtz-Eakin, Douglas, 1993. "Solow and States: Capital Accumulation, Productivity, and Economic Growth," National Tax Journal, National Tax Association;National Tax Journal, vol. 46(4), pages 425-439, December.
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    Cited by:

    1. Sonali DAS , Rangan GUPTA & Patrick A. KAYA, 2010. "Convergence Of Metropolitan House Prices In South Africa: A Re-Examination Using Efficient Unit Root Tests," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
    2. Timothy C. Ford & Jonathan C. Rork & Bruce T. Elmslie, 2008. "Foreign Direct Investment, Economic Growth, and the Human Capital Threshold: Evidence from US States," Review of International Economics, Wiley Blackwell, vol. 16(1), pages 96-113, February.
    3. Mukherjee, D., 2006. "Is the Rate of ‘Convergence’ Always Constant? Some Empirical Evidence from Sector Level Data of 56 countries, 1975-99," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 6(2).
    4. Aye, G.C. & Goswami, S. & Gupta, R., 2013. "Metropolitan House Prices In Regions of India: Do They Converge?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(1), pages 135-144.
    5. Goodness C. Aye & Samrat Goswami & Rangan Gupta, 2012. "Metropolitan House Prices In India: Do They Converge?," Working Papers 201220, University of Pretoria, Department of Economics.

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    More about this item

    Keywords

    Convergence; Time Series Analysis; Regional Growth;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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