IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v32y2000i14p1787-1791.html
   My bibliography  Save this article

Estimating global returns to scale with a cone-homogeneous production function: some cross-section results

Author

Listed:
  • Michael Panik

Abstract

This paper employs a cone-homogeneous production function to approximate, as closely as desired, a ray-homogeneous production function. Points in input space are projected by an output scaling function on to a fixed ray and a Cobb-Douglas cone function is used to obtain an estimate of global returns to scale. The empirical results indicate that we get a good approximation to a ray-homogeneous production function from the estimated cone-homogeneous function.

Suggested Citation

  • Michael Panik, 2000. "Estimating global returns to scale with a cone-homogeneous production function: some cross-section results," Applied Economics, Taylor & Francis Journals, vol. 32(14), pages 1787-1791.
  • Handle: RePEc:taf:applec:v:32:y:2000:i:14:p:1787-1791
    DOI: 10.1080/000368400425008
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368400425008
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/000368400425008?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. Fare, Rolf & Jansson, Leif & Lovell, C A Knox, 1985. "Modelling Scale Economies with Ray-Homothetic Production Functions," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 624-629, November.
    2. Vijverberg, Chu-Ping C & Fei, John C H, 1996. "Production Functions with Factor-Oriented Scale Sensitivity," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 309-320, May.
    3. 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.
    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. Olesen, Ole B., 2014. "A homothetic reference technology in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 233(3), pages 759-771.
    2. Neff, David L. & Garcia, Philip & Hornbaker, Robert H., 1991. "Efficiency Measures Using The Ray-Homothetic Function: A Multiperiod Analysis," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(2), pages 1-9, December.
    3. Joe Kerkvliet & William Nebesky & Carol Tremblay & Victor Tremblay, 1998. "Efficiency and Technological Change in the U.S. Brewing Industry," Journal of Productivity Analysis, Springer, vol. 10(3), pages 271-288, November.
    4. Vanhems, Anne & Van Keilegom, Ingrid, 2019. "Estimation Of A Semiparametric Transformation Model In The Presence Of Endogeneity," Econometric Theory, Cambridge University Press, vol. 35(1), pages 73-110, February.
    5. King, Robert P. & Park, Timothy A., 2002. "Modeling Scale Economies In Supermarket Operations: Incorporating The Impacts Of Store Characteristics And Information Technologies," 2002 Annual meeting, July 28-31, Long Beach, CA 19881, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    7. Millan, Joaquin, 2004. "Scale and the Efficiency Production Function," Efficiency Series Papers 2004/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Sakouvogui Kekoura & Shaik Saleem & Doetkott Curt & Magel Rhonda, 2021. "Sensitivity analysis of stochastic frontier analysis models," Monte Carlo Methods and Applications, De Gruyter, vol. 27(1), pages 71-90, March.
    9. SK Mishra, 2007. "Estimation of Zellner-Revankar Production Function Revisited," Economics Bulletin, AccessEcon, vol. 3(14), pages 1-7.
    10. Christian Holzner & Andrey Launov, 2005. "Search Equilibrium, Production Parameters and Social Returns to Education: Theory and Estimation," ifo Working Paper Series 23, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    11. Constantin Chilarescu, 2019. "A Production Function with Variable Elasticity of Factor Substitution," Economics Bulletin, AccessEcon, vol. 39(4), pages 2343-2360.
    12. Sundström, David, 2016. "The Competition Effect in a Public Procurement Model: An error-in-variables approach," Umeå Economic Studies 920, Umeå University, Department of Economics, revised 17 Jun 2016.
    13. Seo, Young-Joon & Park, Jin Suk, 2016. "The estimation of minimum efficient scale of the port industry," Transport Policy, Elsevier, vol. 49(C), pages 168-175.
    14. Holzner, Christian & Launov, Andrey, 2010. "Search equilibrium and social and private returns to education," European Economic Review, Elsevier, vol. 54(1), pages 39-59, January.
    15. Olesen, Ole B. & Ruggiero, John, 2014. "Maintaining the Regular Ultra Passum Law in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 235(3), pages 798-809.
    16. 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.
    17. M. Li, 2003. "A model-combined estimator of elasticity of scale," Applied Economics Letters, Taylor & Francis Journals, vol. 10(2), pages 119-122.
    18. Colling, Benjamin & Van Keilegom, Ingrid, 2016. "Goodness-of-fit tests in semiparametric transformation models using the integrated regression function," LIDAM Discussion Papers ISBA 2016031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    19. Mellander, Erik, 1991. "An Indirect Approach to Measuring Productivity in Private Services," Working Paper Series 300, Research Institute of Industrial Economics, revised Mar 1992.
    20. Hang Ryu, 2009. "Economic assumptions and choice of functional forms: comparison of top down and bottom up approaches," Journal of Productivity Analysis, Springer, vol. 32(1), pages 55-62, August.

    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:applec:v:32:y:2000:i:14:p:1787-1791. 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/RAEC20 .

    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.