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Productivity differences across OECD countries, 1970–2000: the world technology frontier revisited

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  • Growiec, Jakub

Abstract

We re-estimate the World Technology Frontier (WTF) non-parametrically, using the Data Envelopment Analysis method, with a dataset covering both OECD country-level and US state-level data on GDP per worker and the stocks of physical capital, unskilled labor, and skilled labor. The WTF 2000 is found to be spanned by a few US states such as Colorado, Connecticut, Delaware, Nevada, Utah, and Washington, while the USA as a whole falls markedly behind these leader states. The auxilliary use of US state-level data adds extra precision to cross-country growth and levels accounting exercises. We also calculate the "appropriate technology vs. efficiency" decomposition, disentangling dynamic shifts of the WTF from movements along the WTF. Our results indicate that previous estimates of the WTF might have been downward biased and previous estimates of technical efficiency might have been upward biased.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 11605.

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Date of creation: 14 Nov 2008
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Handle: RePEc:pra:mprapa:11605

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Keywords: world technology frontier; decomposition; country-level data; US state-level data; development accounting; growth accounting;

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  1. Robert E. Hall & Charles I. Jones, 1999. "Why Do Some Countries Produce So Much More Output Per Worker Than Others?," The Quarterly Journal of Economics, MIT Press, vol. 114(1), pages 83-116, February.
  2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
  3. ?gel de la Fuente & Rafael Dom?ech, . "Human Capital In Growth Regressions: How Much Difference Does Data Quality Make?," UFAE and IAE Working Papers 446.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  4. GROWIEC, Jakub, 2006. "A new class of production functions and an argument against purely labor-augmenting technical change," CORE Discussion Papers 2006056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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  6. Peter Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114 National Bureau of Economic Research, Inc.
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  9. 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.
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  13. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.
  14. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
  15. Timmer, Marcel P. & Ypma, Gerard & Ark, Bart van der, 2003. "IT in the European Union: driving productivity divergence?," GGDC Research Memorandum 200363, Groningen Growth and Development Centre, University of Groningen.
  16. Pandey, Manish, 2008. "Human capital aggregation and relative wages across countries," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1587-1601, December.
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Cited by:
  1. Herbert Dawid & Simon Gemkow & Philipp Harting & Michael Neugart, 2012. "Labor market integration policies and the convergence of regions: the role of skills and technology diffusion," Journal of Evolutionary Economics, Springer, vol. 22(3), pages 543-562, July.

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