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Farrell efficiency under value and quantity data

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  • Robin Cross
  • Rolf Färe

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  • Robin Cross & Rolf Färe, 2008. "Farrell efficiency under value and quantity data," Journal of Productivity Analysis, Springer, vol. 29(3), pages 193-199, June.
    • Handle: RePEc:kap:jproda:v:29:y:2008:i:3:p:193-199
    DOI: 10.1007/s11123-007-0080-4
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    1. Herrmann-Pillath Carsten, 2001. "A General Refutation of the Law of One Price as Empirical Hypothesis / Eine allgemeine Widerlegung des „Gesetzes des einheitlichen Preises“ als einer empirischen Hypothese," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 221(1), pages 45-67, February.
    2. GIJBELS, Irène & MAMMEN, Enno & PARK, Byeong U. & SIMAR, Léopold, 1997. "On estimation of monotone and concave frontier functions," LIDAM Discussion Papers CORE 1997031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    4. Engel, Charles & Rogers, John H, 1996. "How Wide Is the Border?," American Economic Review, American Economic Association, vol. 86(5), pages 1112-1125, December.
    5. Kenneth A. Froot & Michael Kim & Kenneth Rogoff, 2019. "The Law of One Price Over 700 Years," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 1-35, May.
    6. Ventelou, Bruno & Bry, Xavier, 2006. "The role of public spending in economic growth: Envelopment methods," Journal of Policy Modeling, Elsevier, vol. 28(4), pages 403-413, May.
    7. Fare, Rolf & Grosskopf, Shawna, 1985. " Nonparametric Cost Approach to Scale Efficiency," Scandinavian Journal of Economics, Wiley Blackwell, vol. 87(4), pages 594-604.
    8. Kneip, Alois & Park, Byeong U. & Simar, Léopold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(6), pages 783-793, December.
    9. Rolf Fare & Shawna Grosskopf & Valentin Zelenyuk, 2004. "Aggregation bias and its bounds in measuring technical efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 657-660.
    10. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
    11. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
    12. Kevin Cullinane & Dong-Wook Song & Tengfei Wang, 2005. "The Application of Mathematical Programming Approaches to Estimating Container Port Production Efficiency," Journal of Productivity Analysis, Springer, vol. 24(1), pages 73-92, September.
    13. Tsai, Hsiang-Chih & Chen, Chun-Mei & Tzeng, Gwo-Hshiung, 2006. "The comparative productivity efficiency for global telecoms," International Journal of Production Economics, Elsevier, vol. 103(2), pages 509-526, October.
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    Cited by:

    1. Sahoo, Biresh K. & Tone, Kaoru, 2013. "Non-parametric measurement of economies of scale and scope in non-competitive environment with price uncertainty," Omega, Elsevier, vol. 41(1), pages 97-111.
    2. Silva Portela, Maria Conceição A., 2014. "Value and quantity data in economic and technical efficiency measurement," Economics Letters, Elsevier, vol. 124(1), pages 108-112.
    3. Sen Subir, 2020. "Analysis of Cost Efficiency of Indian Life Insurers: A comparison of Quantity vs Value based DEA Approach," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 14(1), pages 1-25, January.

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    More about this item

    Keywords

    Data envelopment analysis; Farrell efficiency measures; Gamma distribution; Monte Carlo; C43; D24;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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