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Evaluating Economic Theories of Growth and Inequality: A Study of the Danish Economy

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  • Arnab Bhattacharjee
  • Eduardo de Castro
  • (Late) Chris Jensen-Butler

Abstract

We present a model for studying regional and sectoral variation in total factor productivity (TFP) and develop an empirical test, based on the skewness of TFP distribution, to empirically distinguish between different growth theories. While negative skewness is consistent with the neo-Schumpeterian idea of catching up with leaders, zero skewness supports the neoclassical view that deviations from the frontier reflect only idiosyncratic productivity shocks. We argue that positive skewness corresponds to a model where the combination of exogenous technology with non-transferable knowledge accumulated in specific sectors and regions explains TFP. This argument provides the framework for an empirical model based on stochastic frontier analysis. The model is used to analyse regional and sectoral inequalities in productive efficiency across Danish sectors and regions.

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Bibliographic Info

Paper provided by Centre for Dynamic Macroeconomic Analysis in its series CDMA Working Paper Series with number 200723.

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Date of creation: 15 Nov 2007
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Handle: RePEc:san:cdmawp:0723

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Keywords: Regional growth models; Total Factor Productivity; Stochastic Frontier Analysis; Skewness.;

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  1. Paul M Romer, 1999. "Increasing Returns and Long-Run Growth," Levine's Working Paper Archive 2232, David K. Levine.
  2. Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
  3. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-23, August.
  4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  5. Leopold Simar & Paul Wilson, 2010. "Inferences from Cross-Sectional, Stochastic Frontier Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 62-98.
  6. Robert J. Barro, 1989. "Economic Growth in a Cross Section of Countries," NBER Working Papers 3120, National Bureau of Economic Research, Inc.
  7. Klump, Rainer & Preissler, Harald, 2000. " CES Production Functions and Economic Growth," Scandinavian Journal of Economics, Wiley Blackwell, vol. 102(1), pages 41-56, March.
  8. Gregory Mankiw, 1995. "The Growth of Nations," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1, 25th A), pages 275-326.
  9. Kruger, Jens J., 2006. "Using the manufacturing productivity distribution to evaluate growth theories," Structural Change and Economic Dynamics, Elsevier, vol. 17(2), pages 248-258, June.
  10. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455.
  11. Richard Kneller & Philip Andrew Stevens, 2006. "Frontier Technology and Absorptive Capacity: Evidence from OECD Manufacturing Industries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 1-21, 02.
  12. Aghion, P. & Howitt, P., 1990. "A Model Of Growth Through Creative Destruction," DELTA Working Papers 90-12, DELTA (Ecole normale supérieure).
  13. Martin A. Carree, 2002. "Technological Inefficiency and the Skewness of the Error Component in Stochastic Frontier Analysis," Tinbergen Institute Discussion Papers 02-012/2, Tinbergen Institute.
  14. Richard R. Nelson & Sidney G. Winter, 2002. "Evolutionary Theorizing in Economics," Journal of Economic Perspectives, American Economic Association, vol. 16(2), pages 23-46, Spring.
  15. T. W. Swan, 1956. "ECONOMIC GROWTH and CAPITAL ACCUMULATION," The Economic Record, The Economic Society of Australia, vol. 32(2), pages 334-361, November.
  16. Schmidt, Peter & Knox Lovell, C. A., 1979. "Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers," Journal of Econometrics, Elsevier, vol. 9(3), pages 343-366, February.
  17. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  18. Chris Jensen-Butler & Bjarne Madsen, 2005. "Decomposition analysis: an extended theoretical foundation and its application to the study of regional income growth in Denmark," Environment and Planning A, Pion Ltd, London, vol. 37(12), pages 2189-2208, December.
  19. Fritsch, Michael & Stephan, Andreas, 2004. "The distribution and heterogeneity of technical efficiency within industries: An empirical assessment," Freiberg Working Papers 2004,12, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
  20. 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.
  21. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
  22. Swan, Trevor W, 2002. "Economic Growth," The Economic Record, The Economic Society of Australia, vol. 78(243), pages 375-80, December.
  23. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
  24. Winford H. Masanjala & Chris Papageorgiou, 2004. "The Solow model with CES technology: nonlinearities and parameter heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 171-201.
  25. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
  26. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  27. Green, Alison & Mayes, David, 1991. "Technical Inefficiency in Manufacturing Industries," Economic Journal, Royal Economic Society, vol. 101(406), pages 523-38, May.
  28. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676.
  29. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
  30. Arrow, Kenneth J, 1969. "Classificatory Notes on the Production and Transmission of Technological Knowledge," American Economic Review, American Economic Association, vol. 59(2), pages 29-35, May.
  31. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-86, July.
  32. Frank Hansen & Chris Jensen-Butler, 1996. "Economic Crisis and the Regional and Local Economic Effects of the Welfare State: The Case of Denmark," Regional Studies, Taylor & Francis Journals, vol. 30(2), pages 167-187.
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