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Inefficiency Measurement

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  • Christopher P. Chambers
  • Alan D. Miller

Abstract

We introduce an ordinal model of efficiency measurement. Our primitive is a notion of efficiency that is comparative, but not cardinal or absolute. In this framework, we postulate axioms that an ordinal efficiency measure should satisfy. Primary among these are choice consistency and planning consistency, which guide the measurement of efficiency in a firm with access to multiple technologies. Other axioms include scale invariance, strong monotonicity, and a continuity condition. These axioms characterize a family of path-based measures. By replacing the continuity condition with symmetry, we obtain the coefficient of resource utilization.

Suggested Citation

  • Christopher P. Chambers & Alan D. Miller, 2014. "Inefficiency Measurement," American Economic Journal: Microeconomics, American Economic Association, vol. 6(2), pages 79-92, May.
    • Handle: RePEc:aea:aejmic:v:6:y:2014:i:2:p:79-92
    Note: DOI: 10.1257/mic.6.2.79
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    References listed on IDEAS

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    1. T. de Scitovszky, 1942. "A Reconsideration of the Theory of Tariffs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 9(2), pages 89-110.
    2. Christensen, Flemming & Hougaard, Jens Leth & Keiding, Hans, 1999. "An axiomatic characterization of efficiency indices," Economics Letters, Elsevier, vol. 63(1), pages 33-37, April.
    3. R. Russell & William Schworm, 2011. "Properties of inefficiency indexes on 〈input, output〉 space," Journal of Productivity Analysis, Springer, vol. 36(2), pages 143-156, October.
    4. R. Russell & William Schworm, 2009. "Axiomatic foundations of efficiency measurement on data-generated technologies," Journal of Productivity Analysis, Springer, vol. 31(2), pages 77-86, April.
    5. Kalai, Ehud, 1977. "Proportional Solutions to Bargaining Situations: Interpersonal Utility Comparisons," Econometrica, Econometric Society, vol. 45(7), pages 1623-1630, October.
    6. Bossert, Walter & Nosal, Ed & Sadanand, Venkatraman, 1996. "Bargaining under Uncertainty and the Monotone Path Solutions," Games and Economic Behavior, Elsevier, vol. 14(2), pages 173-189, June.
    7. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455.
    8. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    9. Christopher Chambers & Takashi Hayashi, 2012. "Money-metric utilitarianism," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 39(4), pages 809-831, October.
    10. Christopher Chambers & Alan Miller, 2011. "Rules for aggregating information," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 36(1), pages 75-82, January.
    11. Kreps, David M, 1979. "A Representation Theorem for "Preference for Flexibility"," Econometrica, Econometric Society, vol. 47(3), pages 565-577, May.
    12. Paul A. Samuelson, 1956. "Social Indifference Curves," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 1-22.
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    Citations

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    Cited by:

    1. Fleurbaey, Marc & Maniquet, François, 2017. "Addendum to “Fairness and well-being measurement”," Mathematical Social Sciences, Elsevier, vol. 90(C), pages 127-128.
    2. Chambers, Christopher P. & Miller, Alan D. & Yenmez, M. Bumin, 2020. "Closure and preferences," Journal of Mathematical Economics, Elsevier, vol. 88(C), pages 161-166.
    3. François Maniquet & Domenico Moramarco, 2022. "On the Measurement of Well-Being with Reference Consumption," Working Papers ECARES 2022-41, ULB -- Universite Libre de Bruxelles.
    4. Chambers, Christopher P. & Miller, Alan D., 2014. "Scholarly influence," Journal of Economic Theory, Elsevier, vol. 151(C), pages 571-583.
    5. Domenico Moramarco & François Maniquet, 2022. "On the measurement of well-being with reference consumption," Working Papers 629, ECINEQ, Society for the Study of Economic Inequality.
    6. Elisa Pagani, 2015. "Certainty Equivalent: Many Meanings of a Mean," Working Papers 24/2015, University of Verona, Department of Economics.
    7. Mette Asmild & Tomas Baležentis & Jens Leth Hougaard, 2016. "Multi-directional productivity change: MEA-Malmquist," Journal of Productivity Analysis, Springer, vol. 46(2), pages 109-119, December.
    8. Banerjee, Kuntal & Mitra, Tapan, 2018. "On Wold’s approach to representation of preferences," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 65-74.
    9. Aldo Montesano, 2018. "A Dual Characterization of Pareto Optimality," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 4(1), pages 153-188, March.

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    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D60 - Microeconomics - - Welfare Economics - - - General

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