IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v10y2003i2p119-122.html
   My bibliography  Save this article

A model-combined estimator of elasticity of scale

Author

Listed:
  • M. Li

Abstract

Zellner and Ryu examined several popular specifications of elasticity of scale that characterizes production functions. This note goes further by combining these functional forms and proposing a model-averaged estimator of elasticity of scale. The methodology used in Bayesin Model Averaging, and the procedure is illustrated by an empirical example. Results show that the data clearly prefer some models over the others, but it can be difficult to select a model that overwhelmingly dominates the rest. This model-combined estimator of elasticity of scale is free of choosing a single specification from many competing ones. Moreover, this approach is readily applicable to comparable issues regarding production functions.

Suggested Citation

  • M. Li, 2003. "A model-combined estimator of elasticity of scale," Applied Economics Letters, Taylor & Francis Journals, vol. 10(2), pages 119-122.
    • Handle: RePEc:taf:apeclt:v:10:y:2003:i:2:p:119-122
    DOI: 10.1080/1350485022000041005
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/1350485022000041005&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1350485022000041005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. Clemhout, 1968. "The Class of Homothetic Isoquant Production Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(1), pages 91-104.
    2. Arnold Zellner & Hang Ryu, 1998. "Alternative functional forms for production, cost and returns to scale functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(2), pages 101-127.
    3. Revankar, Nagesh S, 1971. "A Class of Variable Elasticity of Substitution Production Functions," Econometrica, Econometric Society, vol. 39(1), pages 61-71, January.
    4. Ringstad, Vidar, 1974. "Some Empirical Evidence on the Decreasing Scale Elasticity," Econometrica, Econometric Society, vol. 42(1), pages 87-101, January.
    5. A. Zellner & N. S. Revankar, 1969. "Generalized Production Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(2), pages 241-250.
    6. Poirier, Dale J, 1991. "A Bayesian View of Nominal Money and Real Output through a New Classical Macroeconomic Window," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 125-148, April.
    7. Christensen, Laurits R & Greene, William H, 1976. "Economies of Scale in U.S. Electric Power Generation," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 655-676, August.
    8. 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.
    9. Poirier, Dale J, 1991. "A Bayesian View of Nominal Money and Real Output through a New Clasical Macroeconomic Window: Is My Window Broken? Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 159-161, April.
    Full references (including those not matched with items on IDEAS)

    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. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1-2), pages 459-472, January.
    2. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1), pages 459-472.
    3. Ricardo S. Ehlers, 2011. "Comparison of Bayesian models for production efficiency," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2433-2443, January.
    4. Herbert H. Tsang, 1973. "Economic Hypotheses and the Derivation of Production Functions," The Economic Record, The Economic Society of Australia, vol. 49(3), pages 456-463, September.
    5. Loyland, Knut & Ringstad, Vidar, 2000. "Gains and structural effects of exploiting scale-economies in Norwegian dairy production," Agricultural Economics, Blackwell, vol. 24(2), pages 149-166, January.
    6. Griffiths, William E. & O'Donnell, Christopher J., 2005. "Estimating variable returns to scale production frontiers with alternative stochastic assumptions," Journal of Econometrics, Elsevier, vol. 126(2), pages 385-409, June.
    7. Paul, Saumik, 2019. "A Decline in Labor's Share with Capital Accumulation and Complementary Factor Inputs: An Application of the Morishima Elasticity of Substitution," IZA Discussion Papers 12219, Institute of Labor Economics (IZA).
    8. Tung Liu, 2020. "Measuring Technical, Allocative inefficiency, and Cost Inefficiency by Applying Duality Theory," Working Papers 202001, Ball State University, Department of Economics, revised Jun 2020.
    9. Marvin E. Dodson & Thomas A. Garrett, 2004. "Inefficient Education Spending in Public School Districts: A Case for Consolidation?," Contemporary Economic Policy, Western Economic Association International, vol. 22(2), pages 270-280, April.
    10. repec:wvu:wpaper:10-09 is not listed on IDEAS
    11. Tommaso Agasisti & Sabine Gralka, 2019. "The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis," Applied Economics, Taylor & Francis Journals, vol. 51(46), pages 5012-5030, October.
    12. Sabine Gralka, 2018. "Persistent inefficiency in the higher education sector: evidence from Germany," Education Economics, Taylor & Francis Journals, vol. 26(4), pages 373-392, July.
    13. Yiguo Sun & Thanasis Stengos, 2008. "The absolute health income hypothesis revisited: a semiparametric quantile regression approach," Empirical Economics, Springer, vol. 35(2), pages 395-412, September.
    14. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    15. Koop, Gary & Tole, Lise, 2004. "Measuring the health effects of air pollution: to what extent can we really say that people are dying from bad air?," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 30-54, January.
    16. Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.
    17. Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
    18. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    19. Joanna Piechucka, 2021. "Cost efficiency and endogenous regulatory choices: evidence from the transport industry in France," Journal of Regulatory Economics, Springer, vol. 59(1), pages 25-46, February.
    20. McDonald, John & Snooks, G. D., 1986. "Domesday Economy: A New Approach to Anglo-Norman History," OUP Catalogue, Oxford University Press, number 9780198285243.
    21. Ajayi, Victor & Weyman-Jones, Thomas & Glass, Anthony, 2017. "Cost efficiency and electricity market structure: A case study of OECD countries," Energy Economics, Elsevier, vol. 65(C), pages 283-291.

    More about this item

    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:taf:apeclt:v:10:y:2003:i:2:p:119-122. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.