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Allocative efficiency measurement revisited: do we really need input prices?

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  • Badunenko, Oleg
  • Fritsch, Michael
  • Stephan, Andreas

Abstract

The traditional approach to measuring allocative efficiency is based on input prices, which are rarely known at the firm level. This paper proposes a new approach to measure allocative efficiency which is based on the output-oriented distance to the frontier in a profit - technical efficiency space - and which does not require information on input prices. To validate the new approach, we perform a Monte-Carlo experiment which provides evidence that the estimates of the new and the traditional approach are highly correlated. Finally, as an illustration, we apply the new approach to a sample of about 900 enterprises from the chemical industry in Germany.

Suggested Citation

  • Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: do we really need input prices?," Freiberg Working Papers 2006/04, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
  • Handle: RePEc:zbw:tufwps:200604
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    1. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2008. "Allocative efficiency measurement revisited--Do we really need input prices?," Economic Modelling, Elsevier, vol. 25(5), pages 1093-1109, September.
    2. Michael J. Highfield & Lily Shen & Thomas M. Springer, 2021. "Economies of Scale and the Operating Efficiency of REITs: A Revisit," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 108-138, January.
    3. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz, 2006. "Political orientation of government and stock market returns," MPRA Paper 307, University Library of Munich, Germany, revised Nov 2006.
    4. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
    5. Ben Amor, Tawfik & Mellah, Thuraya, 2023. "Cost efficiency of Tunisian water utility districts: Does heterogeneity matter?," Utilities Policy, Elsevier, vol. 84(C).
    6. Ali, Syed Zahid & Anwar, Sajid & Valadkhani, Abbas, 2012. "Macroeconomic consequences of increased productivity in less developed economies," Economic Modelling, Elsevier, vol. 29(3), pages 621-631.
    7. Tochkov, Kiril, 2015. "The efficiency of postal services in the age of market liberalization and the internet: Evidence from Central and Eastern Europe," Utilities Policy, Elsevier, vol. 36(C), pages 35-42.

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    More about this item

    Keywords

    Allocative efficiency; data envelopment analysis; frontier analysis; technical efficiency; Monte-Carlo study; chemical industry;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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