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An Assumption-Free Framework For Measuring Productivity Change

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  • Bert M. Balk
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    Abstract

    The measurement of productivity change (or difference) is usually based on models that make use of strong assumptions such as competitive behavior and constant returns to scale. This survey discusses the basics of productivity measurement and shows that one can dispense with most if not all of the usual, neoclassical assumptions. By virtue of its structural features, the measurement model is applicable to individual establishments and aggregates such as industries, sectors, or economies. Copyright 2010 The Author. Journal compilation International Association for Research in Income and Wealth 2010.

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    Article provided by International Association for Research in Income and Wealth in its journal Review of Income and Wealth.

    Volume (Year): 56 (2010)
    Issue (Month): s1 (06)
    Pages: S224-S256

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    Handle: RePEc:bla:revinw:v:56:y:2010:i:s1:p:s224-s256

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    Cited by:
    1. Erwin W. Diewert, 2010. "User Costs versus Waiting Services and Depreciation in a Model of Production," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 230(6), pages 759-771, December.
    2. C. Lovell & J. Lovell, 2013. "Productivity decline in Australian coal mining," Journal of Productivity Analysis, Springer, Springer, vol. 40(3), pages 443-455, December.
    3. de Mey, Yann & Vancauteren, Mark & Van Passel, Steven, 2011. "Input-output Concepts, Profits and Productivity Growth: An Application Using Flemish Farm Level Data," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland, European Association of Agricultural Economists 114448, European Association of Agricultural Economists.
    4. Yann, de Mey & Mark, Vancauteren & Frankwin, van Winsen & Erwin, Wauters & Ludwig, Lauwers & Steven, Van Passel, 2013. "Measuring productivity change using alternative input–output concepts: A farm level application using FADN data," Proceedings Issues, 2013: Productivity and Its Impacts on Global Trade, June 2-4, 2013. Seville, Spain, International Agricultural Trade Research Consortium 152364, International Agricultural Trade Research Consortium.
    5. Voskoboynikov, Ilya B. & Timmer, Marcel, 2013. "Is Mining Fuelling Long-run Growth in Russia? Industry Productivity Growth Trends since 1995," GGDC Research Memorandum, Groningen Growth and Development Centre, University of Groningen GD-137, Groningen Growth and Development Centre, University of Groningen.
    6. E. Grifell-Tatjé & C. Lovell, 2014. "Productivity, price recovery, capacity constraints and their financial consequences," Journal of Productivity Analysis, Springer, Springer, vol. 41(1), pages 3-17, February.
    7. Mark Vancauteren & Bruno Henry de Frahan, 2011. "Trade Policy, Competition and Productivity: The Impact of EU Harmonization in the Dutch Food Processing Industry," De Economist, Springer, Springer, vol. 159(4), pages 483-509, December.

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