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The Components of Output Growth: A Stochastic Frontier Analysis

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  • Koop, Gary
  • Osiewalski, Jacek
  • Steel, Mark F J

Abstract

This paper uses Bayesian stochastic frontier methods to decompose output change into technical, efficiency and input changes. In the context of macroeconomic growth exercises, which typically involve small and noisy data sets, we argue that stochastic frontier methods are useful since they incorporate measurement error and assume a (flexible) parametric form for the production relationship. These properties enable us to calculate measures of uncertainty associated with the decomposition and minimize the risk of overfitting the noise in the data. Tools for Bayesian inference in such models are developed. An empirical investigation using data from 17 OECD countries for 10 years illustrates the practicality and usefulness of our approach. Copyright 1999 by Blackwell Publishing Ltd

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Bibliographic Info

Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics & Statistics.

Volume (Year): 61 (1999)
Issue (Month): 4 (November)
Pages: 455-87

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Handle: RePEc:bla:obuest:v:61:y:1999:i:4:p:455-87

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Cited by:
  1. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics, Finance and Accounting Department Working Paper Series n1331103, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
  2. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
  3. Letizia Montinari & Michael Rochlitz, 2012. "Absorptive Capacity and Efficiency: A Comparative Stochastic Frontier Approach Using Sectoral Data," Working Papers 4/2012, IMT Institute for Advanced Studies Lucca, revised Jun 2012.
  4. Scott E. Atkinson & Jeffrey H. Dorfman, 2009. "Feasible estimation of firm-specific allocative inefficiency through Bayesian numerical methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 675-697.
  5. Sourafel Girma & Holger Görg, 2007. "Multinationals' Productivity Advantage: Scale Or Technology?," Economic Inquiry, Western Economic Association International, vol. 45(2), pages 350-362, 04.
  6. Kamil Makieła, 2009. "Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 1(4), pages 333-369, December.
  7. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2007. "Technological Change and Transition: Relative Contributions to Worldwide Growth during the 1990s," Discussion Papers of DIW Berlin 740, DIW Berlin, German Institute for Economic Research.
  8. Joao Amador & Carlos Coimbra, 2008. "Total factor productivity in the G7 countries: a shorte note," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 3-11 Bank for International Settlements.
  9. Zaeske, Andrew, 2012. "Aggregate Technical Efficiency and Water Use in U.S. Agriculture," CERE Working Papers 2012:11, CERE - the Center for Environmental and Resource Economics.
  10. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
  11. repec:ial:wpaper:4 is not listed on IDEAS
  12. Jaume Puig, 2000. "Technical inefficiency and public capital in US States: A stochastic frontier approach," Economics Working Papers 451, Department of Economics and Business, Universitat Pompeu Fabra.
  13. Osiewalski, J. & Koop, G. & Steel, M.F.J., 1997. "A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Discussion Paper 1997-85, Tilburg University, Center for Economic Research.
  14. Henry, Michael & Kneller, Richard & Milner, Chris, 2009. "Trade, technology transfer and national efficiency in developing countries," European Economic Review, Elsevier, vol. 53(2), pages 237-254, February.
  15. Songqing Jin & Hengyun Ma & Jikun Huang & Ruifa Hu & Scott Rozelle, 2010. "Productivity, efficiency and technical change: measuring the performance of China’s transforming agriculture," Journal of Productivity Analysis, Springer, vol. 33(3), pages 191-207, June.
  16. Li, Kai, 2007. "The growth in equity market size and trading activity: An international study," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 59-90, January.
  17. Sharma, Subhash C. & Sylwester, Kevin & Margono, Heru, 2007. "Decomposition of total factor productivity growth in U.S. states," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(2), pages 215-241, May.
  18. Kai Li, 2004. "The Growth of Global Equity Markets: A Closer Look," Econometric Society 2004 North American Winter Meetings 54, Econometric Society.
  19. Bos, J.W.B. & Economidou, C. & Koetter, M. & Kolari, J.W., 2010. "Do all countries grow alike?," Journal of Development Economics, Elsevier, vol. 91(1), pages 113-127, January.

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