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Are distance measures effective at measuring efficiency? DEA meets the vintage model

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  • Constantin Belu

Abstract

In this paper I develop a model of capacity expansion that accounts for differences in the productivity of the installed capital due to technical progress exhibited by the ex ante production function. A putty-clay set-up is assumed, meaning flexible input coefficients and substitution possibilities ex ante, but fixed input coefficients ex post. Based on the model, I generate a capacity distribution of DMUs (vintages) describing an industry with a homogeneous output and perform an efficiency analysis employing data envelopment analysis, a popular non-parametric method for estimating efficiency. The results show that in some circumstances older vintages might appear on the efficiency frontier, unlike some newer vintages that are found to be inefficient, despite benefiting from the advancement of the technology. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Constantin Belu, 2015. "Are distance measures effective at measuring efficiency? DEA meets the vintage model," Journal of Productivity Analysis, Springer, vol. 43(3), pages 237-248, June.
    • Handle: RePEc:kap:jproda:v:43:y:2015:i:3:p:237-248
    DOI: 10.1007/s11123-015-0438-y
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    8. Forsund, Finn R & Hjalmarsson, Lennart & Summa, Timo, 1996. " The Interplay between Micro-Frontier and Sectoral Short-Run Production Functions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(3), pages 365-386.
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    Cited by:

    1. Hampf, Benjamin, 2016. "Rational Inefficiency, Adjustment Costs and Sequential Technologies," VfS Annual Conference 2016 (Augsburg): Demographic Change 145796, Verein für Socialpolitik / German Economic Association.
    2. Kristiaan Kerstens & Jafar Sadeghi & Ignace Woestyne & John Walden, 2024. "Short-run Johansen frontier-based industry models: methodological refinements and empirical illustration on fisheries," Journal of Productivity Analysis, Springer, vol. 61(1), pages 47-62, February.
    3. Finn R. Førsund, 2018. "Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance," Empirical Economics, Springer, vol. 54(1), pages 67-99, February.
    4. Hampf, Benjamin, 2017. "Rational inefficiency, adjustment costs and sequential technologies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1095-1108.
    5. Førsund, Finn. R., 2015. "Productivity Interpretations of the Farrell Efficiency Measures and the Malmquist Index and its Decomposition," Memorandum 14/2015, Oslo University, Department of Economics.

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    More about this item

    Keywords

    Technical efficiency; Vintage; Putty-clay; Best-practice; Data envelopment analysis; DEA; C61; D24;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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