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The Hicks–Moorsteen Productivity Index Satisfies The Determinateness Axiom

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  • WALTER BRIEC
  • KRISTIAAN KERSTENS

Abstract

There are two total factor productivity indices available in the literature based on a primal notion of the technology. In a ratio tradition, these are the Malmquist and the HicksMoorsteen productivity indices. In a difference perspective, the Luenberger and Luenberger-Hicks-Moorsteen productivity indicators are based upon a sightly different concept. The purpose of this note is to establish that -in contrast to the Malmquist index- the Hicks-Moorsteen type of productivity index (as well as its difference-based counterpart) is well-defined and satisfies the determinateness property, since the underlying distance functions are always feasible.

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Bibliographic Info

Article provided by University of Manchester in its journal The Manchester School.

Volume (Year): 79 (2011)
Issue (Month): 4 (07)
Pages: 765-775

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Handle: RePEc:bla:manchs:v:79:y:2011:i:4:p:765-775

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  1. Bjurek, Hans, 1996. " The Malmquist Total Factor Productivity Index," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(2), pages 303-13, June.
  2. Ouellette, Pierre & Vierstraete, Valerie, 2004. "Technological change and efficiency in the presence of quasi-fixed inputs: A DEA application to the hospital sector," European Journal of Operational Research, Elsevier, vol. 154(3), pages 755-763, May.
  3. Jiro Nemoto & Mika Goto, 2005. "Productivity, Efficiency, Scale Economies and Technical Change: A New Decomposition Analysis," NBER Working Papers 11373, National Bureau of Economic Research, Inc.
  4. Walter Briec & Kristiaan Kerstens, 2004. "A Luenberger-Hicks-Moorsteen productivity indicator: its relation to the Hicks-Moorsteen productivity index and the Luenberger productivity indicator," Economic Theory, Springer, vol. 23(4), pages 925-939, May.
  5. Robert G. Chambers, 2002. "Exact nonradial input, output, and productivity measurement," Economic Theory, Springer, vol. 20(4), pages 751-765.
  6. Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2007. "Measuring Quantity-Quality Trade-Offs In Regulation: The Brazilian Freight Railways Case ," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 78(1), pages 1-20, 03.
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  8. Nemoto, Jiro & Goto, Mika, 2005. "Productivity, efficiency, scale economies and technical change: A new decomposition analysis of TFP applied to the Japanese prefectures," Journal of the Japanese and International Economies, Elsevier, vol. 19(4), pages 617-634, December.
  9. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
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Cited by:
  1. W. Erwin Diewert & Kevin J. Fox, 2014. "Decomposing Bjurek Productivity Indexes into Explanatory Factors," Discussion Papers 2014-33, School of Economics, The University of New South Wales.
  2. C.J. O'Donnell, 2011. "The Sources of Productivity Change in the Manufacturing Sectors of the U.S. Economy," CEPA Working Papers Series WP072011, School of Economics, University of Queensland, Australia.
  3. Andrew Maredza and Sylvanus Ikhide, 2013. "The Impact of the Global Financial Crisis on Efficiency and Productivity of the Banking System in South Africa," Working Papers 328, Economic Research Southern Africa.
  4. Kerstens, Kristiaan & Van de Woestyne, Ignace, 2014. "Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data," European Journal of Operational Research, Elsevier, vol. 233(3), pages 749-758.
  5. Briec, Walter & Dumas, Audrey & Stenger, Agathe, 2013. "On the standard achievement and well-being indexes and their relation to the Hicks–Moorsteen productivity index," Economic Modelling, Elsevier, vol. 35(C), pages 900-909.

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