IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-09-00240.html
   My bibliography  Save this article

A stochastic production frontier model with a translog specification using the generalized maximum entropy estimator

Author

Listed:
  • Pedro Macedo

    (Department of Mathematics, University of Aveiro, Portugal)

  • Elvira Silva

    (Faculty of Economics, University of Porto, Portugal)

Abstract

In this paper, an empirical application of the generalized maximum entropy estimator in a stochastic production frontier model with a translog specification is discussed to investigate technical efficiency in a wine region of Portugal. The empirical results indicate technical progress over the time period of the sample and an increasing technical inefficiency over time. All production units are technically inefficient, although wine cooperatives are less inefficient than private firms.

Suggested Citation

  • Pedro Macedo & Elvira Silva, 2010. "A stochastic production frontier model with a translog specification using the generalized maximum entropy estimator," Economics Bulletin, AccessEcon, vol. 30(1), pages 587-596.
    • Handle: RePEc:ebl:ecbull:eb-09-00240
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2010/Volume30/EB-10-V30-I1-P53.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Golan, Amos, 2002. "Information and Entropy Econometrics--Editor's View," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 1-15, March.
    2. Golan, Amos, 2007. "Information and entropy econometrics - volume overview and synthesis," Journal of Econometrics, Elsevier, vol. 138(2), pages 379-387, June.
    3. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. Alfons Lansink & Elvira Silva & Spiro Stefanou, 2001. "Inter-Firm and Intra-Firm Efficiency Measures," Journal of Productivity Analysis, Springer, vol. 15(3), pages 185-199, May.
    6. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    7. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    8. Jaume Puig‐Junoy, 2001. "Technical Inefficiency and Public Capital in U.S. States: A Stochastic Frontier Approach," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 75-96, February.
    9. A Oude Lansink & E Silva & S Stefanou, 2000. "Decomposing productivity growth allowing efficiency gains and price-induced technical progress," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(4), pages 497-518, December.
    10. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    11. Greene, William, 2001. "New Developments in the Estimation of Stochastic Frontier Models with Panel Data," Efficiency Series Papers 2001/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    12. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    13. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laureti, Tiziana & Secondi, Luca & Biggeri, Luigi, 2014. "Measuring the efficiency of teaching activities in Italian universities: An information theoretic approach," Economics of Education Review, Elsevier, vol. 42(C), pages 147-164.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ebl:ecbull:v:30:y:2010:i:1:p:587-596 is not listed on IDEAS
    2. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    3. repec:use:tkiwps:3232 is not listed on IDEAS
    4. Macedo, Pedro & Scotto, Manuel, 2014. "Cross-entropy estimation in technical efficiency analysis," Journal of Mathematical Economics, Elsevier, vol. 54(C), pages 124-130.
    5. Martin, Sheila Ann, 1992. "The effectiveness of state technology incentives: evidence from the machine tool industry," ISU General Staff Papers 1992010108000011381, Iowa State University, Department of Economics.
    6. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics Department Working Paper Series n1331103, Department of Economics, National University of Ireland - Maynooth.
    7. Rajendran, Srinivasulu, 2014. "Technical Efficiency of Fruit and Vegetable Producers in Tamil Nadu, India: A Stochastic Frontier Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 11(1), pages 1-17, June.
    8. Thi Bich Tran & R. Quentin Grafton & Tom Kompas, 2008. "Firm Efficiency in a Transitional Economy: Evidence from Vietnam," Asian Economic Journal, East Asian Economic Association, vol. 22(1), pages 47-66, March.
    9. Nuno Ferreira & Francisca Mendonça Souza & Adriano Mendonça Souza, 2014. "PSI-20 Portfolio Efficiency Analysis with SFA," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 4(3), pages 785-785.
    10. Bavorova, Miroslava & Curtiss, Jarmila & Jelinek, Ladislav, 2005. "Czech Agricultural Associations and the Impact of Membership on Farm Efficiency," 94th Seminar, April 9-10, 2005, Ashford, UK 24430, European Association of Agricultural Economists.
    11. Seog-Chan Oh & Alfred J. Hildreth, 2014. "Estimating the Technical Improvement of Energy Efficiency in the Automotive Industry—Stochastic and Deterministic Frontier Benchmarking Approaches," Energies, MDPI, vol. 7(9), pages 1-27, September.
    12. Amer Ait Sidhoum & K Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    13. Manlagnit, Maria Chelo V., 2015. "Basel regulations and banks’ efficiency: The case of the Philippines," Journal of Asian Economics, Elsevier, vol. 39(C), pages 72-85.
    14. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.
    15. Voigt, Peter, 2004. "Russlands Weg vom Plan zum Markt: Sektorale Trends und regionale Spezifika. Eine Analyse der Produktivitäts- und Effizienzentwicklungen in der Transformationsphase," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 28, number 93021.
    16. Arbelo-Pérez, Marta & Arbelo, Antonio & Pérez-Gómez, Pilar, 2017. "Impact of quality on estimations of hotel efficiency," Tourism Management, Elsevier, vol. 61(C), pages 200-208.
    17. Williams, Jonathan & Nguyen, Nghia, 2005. "Financial liberalisation, crisis, and restructuring: A comparative study of bank performance and bank governance in South East Asia," Journal of Banking & Finance, Elsevier, vol. 29(8-9), pages 2119-2154, August.
    18. Méon, Pierre-Guillaume & Weill, Laurent, 2010. "Does financial intermediation matter for macroeconomic performance?," Economic Modelling, Elsevier, vol. 27(1), pages 296-303, January.
    19. Zuzana Irsova & Tomas Havranek, 2011. "Bank Efficiency in Transitional Countries: Sensitivity to Stochastic Frontier Design," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(2), pages 230-270, December.
    20. Carlos Pestana Barros & Julio del Corral & Pedro Garcia-del-Barrio, 2008. "Identification of Segments of Soccer Clubs in the Spanish League First Division With a Latent Class Model," Journal of Sports Economics, , vol. 9(5), pages 451-469, October.
    21. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    22. Rajesh Raj S.N., 2011. "Technical Efficiency in the Informal Manufacturing Sector," Journal of South Asian Development, , vol. 6(2), pages 213-232, October.

    More about this item

    Keywords

    stochastic frontier analysis; generalized maximum entropy; technical efficiency; translog;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-09-00240. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.