IDEAS home Printed from https://ideas.repec.org/a/ine/journl/v1y2011i41p131-150.html
   My bibliography  Save this article

Some aspects of the translog production function estimation

Author

Listed:
  • Florin-Marius PAVELESCU

    (Institute of National Economy, Romanian Academy)

Abstract

In a translog production function, the number of parameters practically ”explodes” as the number of considered production factors increases. Consequently, the shortcoming in the estimation of the respective production function is the occurrence of collinearity. Theoretically, the collinearity impact is minimum if a single production factor is taken into account. In this case, we can determine not only the output elasticity but also the elasticity of scale related to the respective production factor. In the present paper, we demonstrate that the relationship between the output elasticity and estimated average elasticity of scale depends on the dynamics trajectory of the production factor, underexponential and overexponential, respectively. At the end, a practical example is offered, dealing with the computation of the Gross Domestic Product elasticity and average elasticity of scale related to employed population in the United Kingdom and France during 1999-2009.

Suggested Citation

  • Florin-Marius PAVELESCU, 2011. "Some aspects of the translog production function estimation," Romanian Journal of Economics, Institute of National Economy, vol. 32(1(41)), pages 131-150, June.
  • Handle: RePEc:ine:journl:v:1:y:2011:i:41:p:131-150
    as

    Download full text from publisher

    File URL: http://www.revecon.ro/articles/2011-1/2011-1-8.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pavelescu, Florin Marius, 2005. "Impact Of Collinearity On The Estimated Parameters And Classical Statistical Tests Values Of Multifactorial Linear Regressions In Conditions Of O.L.S," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 2(2), pages 50-71.
    2. Pavelescu, Florin Marius, 2009. "A Review Of Student Test Properties In Condition Of Multifactorial Linear Regression," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(1), pages 63-75, March.
    3. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    4. Pavelescu, Florin Marius, 2010. "An Analysis Model for the Disturbances Generated by Collinearity in the Context of the OLS Method," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 245-264, July.
    5. Florin Marius Pavelescu, 2010. "An Extensive Study on the Disturbances Generated by Collinearity in a Linear Regression Model with Three Explanatory Variables," Romanian Journal of Economics, Institute of National Economy, vol. 31(2(40)), pages 65-93, December.
    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. Gertrude Sebunya Muwanga, 2017. "Estimation Of Cob-Douglas And Translog Production Functions With Capital And Gender Disaggregated Labor Inputs In The Usa," Journal of Smart Economic Growth, , vol. 2(3), pages 55-105, December.
    2. Florin Marius Pavelescu, 2010. "An Extensive Study on the Disturbances Generated by Collinearity in a Linear Regression Model with Three Explanatory Variables," Romanian Journal of Economics, Institute of National Economy, vol. 31(2(40)), pages 65-93, December.
    3. Frédéric Reynès, 2011. "The cobb-douglas function as an approximation of other functions," SciencePo Working papers Main hal-01069515, HAL.
    4. Brox, James A. & Fader, Christina, 1996. "Production elasticity differences between just-in-time and non-just-in-time users in the automotive parts industry," The North American Journal of Economics and Finance, Elsevier, vol. 7(1), pages 77-90.
    5. Wilson, E.J. & Chaudhri, D.P., 2000. "Endogeneity, Knowledge and Dynamics of Long Run Capitalist Economic Growth," Economics Working Papers wp00-03, School of Economics, University of Wollongong, NSW, Australia.
    6. Joachim Merz & Tim Rathjen, 2011. "Intensity of Time and Income Interdependent Multidimensional Poverty: Well-Being and Minimum 2DGAP – German Evidence," FFB-Discussionpaper 92, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    7. Prados de la Escosura, Leandro & Rosés, Joan R., 2008. "Proximate causes of economic growth in Spain, 1850-2000," IFCS - Working Papers in Economic History.WH wp08-12, Universidad Carlos III de Madrid. Instituto Figuerola.
    8. Perekhozhuk, Oleksandr & Grings, Michael, 2007. "Econometric Analysis Of Market Power On The Ukrainian Market For Raw Milk," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7575, German Association of Agricultural Economists (GEWISOLA).
    9. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    10. Lundmark, Robert & Söderholm, Patrik & Lundmark, Robert, 2003. "Structural changes in Swedish wastepaper demand: a variable cost function approach," Journal of Forest Economics, Elsevier, vol. 9(1), pages 41-63.
    11. Alexandre Manoel Angelo da Silva, 2001. "Setor Aéreo Doméstico Brasileiro: uma Função Custo," Anais do XXIX Encontro Nacional de Economia [Proceedings of the 29th Brazilian Economics Meeting] 069, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. José Luis Gallizo & Jordi Moreno & Manuel Salvador, 2015. "European banking integration: is foreign ownership affecting banking efficiency?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(2), pages 340-368, April.
    13. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    14. Levine, Oliver, 2017. "Acquiring growth," Journal of Financial Economics, Elsevier, vol. 126(2), pages 300-319.
    15. McKay, Lloyd & Lawrence, Denis & Vlastuin, Chris, 1980. "Input Demand and Substitution in the Australian Sheep Industry," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 48(02), pages 1-14, August.
    16. Hyo-Jin Kim & Su-Mi Han & Seung-Hoon Yoo, 2018. "Measuring the Economic Benefits of Industrial Natural Gas Use in South Korea," Sustainability, MDPI, vol. 10(7), pages 1-10, June.
    17. Lyu, Syu-Jyun Larry & White, Fred C. & Lu, Yao-Chi, 1984. "Estimating Effects Of Agricultural Research And Extension Expenditures On Productivity: A Translog Production Function Approach," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(2), pages 1-8, December.
    18. Odolinski, Kristofer & Smith, Andrew & Wheat, Phill & Nilsson, Jan-Eric & Dheilly, Clement, 2023. "Damage or no damage from traffic: Re-examining marginal cost pricing for rail signalling maintenance," Transport Policy, Elsevier, vol. 131(C), pages 13-21.
    19. Matthieu LEMOINE & Odile CHAGNY, 2005. "Estimating the potential output of the euro area with a semi-structural multivariate Hodrick-Prescott filter," Computing in Economics and Finance 2005 344, Society for Computational Economics.
    20. Pfeiffer, Friedhelm, 1997. "Human capital and innovation in East and West German manufacturing firms," ZEW Discussion Papers 97-08, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Keywords

    estimation constraints; informational energy; translog multiplier; augmented output elasticity related to a production factor.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:ine:journl:v:1:y:2011:i:41:p:131-150. 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: Valentina Vasile (email available below). General contact details of provider: https://edirc.repec.org/data/inacaro.html .

    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.