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Allocative efficiency measurement with endogenous prices

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  • Johnson, Andrew L.
  • Ruggiero, John

Abstract

In the nonparametric measurement of allocative efficiency, output prices are fixed. If prices are endogenous, the overall output in the market determines the allocative efficient point. We develop an alternative semi-nonparametric model that allows prices to be endogenously determined.

Suggested Citation

  • Johnson, Andrew L. & Ruggiero, John, 2011. "Allocative efficiency measurement with endogenous prices," Economics Letters, Elsevier, vol. 111(1), pages 81-83, April.
    • Handle: RePEc:eee:ecolet:v:111:y:2011:i:1:p:81-83
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    References listed on IDEAS

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    1. Fare,Rolf & Grosskopf,Shawna & Lovell,C. A. Knox, 2008. "Production Frontiers," Cambridge Books, Cambridge University Press, number 9780521072069.
    2. Cherchye, Laurens & Kuosmanen, Timo & Post, Thierry, 2002. "Non-parametric production analysis in non-competitive environments," International Journal of Production Economics, Elsevier, vol. 80(3), pages 279-294, December.
    3. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    4. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, November.
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    Cited by:

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    2. David J. Mayston, 2017. "Data envelopment analysis, endogeneity and the quality frontier for public services," Annals of Operations Research, Springer, vol. 250(1), pages 185-203, March.
    3. Ayouba, Kassoum & Boussemart, Jean-Philippe & Lefer, Henri-Bertrand & Leleu, Hervé & Parvulescu, Raluca, 2019. "A measure of price advantage and its decomposition into output- and input-specific effects," European Journal of Operational Research, Elsevier, vol. 276(2), pages 688-698.
    4. Benjamin Hampf & Kenneth Løvold Rødseth, 2017. "Optimal profits under environmental regulation: the benefits from emission intensity averaging," Annals of Operations Research, Springer, vol. 255(1), pages 367-390, August.
    5. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2014. "Optimal Profits under Environmental Regulation: The Benefits from Emission Intensity Averaging," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 68011, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Saeideh Fallah-Fini & Konstantinos Triantis & Andrew Johnson, 2014. "Reviewing the literature on non-parametric dynamic efficiency measurement: state-of-the-art," Journal of Productivity Analysis, Springer, vol. 41(1), pages 51-67, February.
    7. David J. Mayston, 2015. "Data envelopment analysis, endogeneity and the quality frontier for public services," Discussion Papers 15/05, Department of Economics, University of York.
    8. Portela, Maria Conceição A. Silva & Thanassoulis, Emmanuel, 2014. "Economic efficiency when prices are not fixed: disentangling quantity and price efficiency," Omega, Elsevier, vol. 47(C), pages 36-44.
    9. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2014. "Optimal profits under environmental regulation: The benefits from emission intensity averaging," Darmstadt Discussion Papers in Economics 220, Darmstadt University of Technology, Department of Law and Economics.
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