IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0177.html
   My bibliography  Save this article

Some specification aspects for three-factor models of a company's production potential taking into account intellectual capital

Author

Listed:
  • Sergei Aivazian

    (CEMI RAS, Moscow, Russia)

  • Mikhail Afanasiev

    (CEMI RAS, Moscow, Russia)

  • Victoria Rudenko

    (Moscow Engineering Physics Institute (National Research Nuclear University), Russia)

Abstract

As a contribution to further development of the stochastic frontier methodology the specification method for a 3-factor stochastic model of the production potential of a company is given. Along with labor input and physical capital input we consider intellectual capital as a basic production factor. For the description of a random variable that defines production efficiency the truncated at zero normal distribution is used. The presented formalized scheme that is based on hypothesis testing criteria and information about adequate efficiency factors allows one to choose a model reasonably. Practical approval of the given method is provided on the statistical data for the American companies operating in «Biotechnology and Drugs» sector and for the Russian companies operating in «Pharmaceutical production» and «Software development» areas. It is shown that unreasonable model specification may lead to significant distortions in the production efficiency estimates. For different estimations of intellectual capital hypothesis testing procedure regarding adequacy of the estimations is provided.

Suggested Citation

  • Sergei Aivazian & Mikhail Afanasiev & Victoria Rudenko, 2012. "Some specification aspects for three-factor models of a company's production potential taking into account intellectual capital," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 27(3), pages 36-69.
    • Handle: RePEc:ris:apltrx:0177
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2012_3_36-69.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LLC, vol. 10(60).
    2. Michele Boldrin & David Levine, 2002. "The Case Against Intellectual Property," American Economic Review, American Economic Association, vol. 92(2), pages 209-212, May.
    3. Adrian R Pagan & Anthony D Hall, 1983. "Diagnostic tests as residual analysis," Published Paper Series 1983-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Romer,Paul M, 1989. "What determines the rate of growth and technological change?," Policy Research Working Paper Series 279, The World Bank.
    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. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    2. Sergei Aivazian & Mikhail Afanasiev & Victoria Rudenko, 2014. "Analysis of dependence between the random components of a stochastic production function for the purpose of technical efficiency estimation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 34(2), pages 3-18.
    3. Айвазян С.А. & Афанасьев М.Ю. & Руденко В.А., 2014. "Оценка Эффективности Регионов Рф На Основе Модели Производственного Потенциала С Характеристиками Готовности К Инновациям," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 50(4), pages 34-70, октябрь.
    4. Макаров Валерий Леонидович & Айвазян Сергей Арутюнович & Афанасьев Михаил Юрьевич & Бахтизин Альберт Рауфович & Нанавян Ашхен Мардиросовна, 2014. "Оценка Эффективности Регионов Рф С Учетом Интеллектуального Капитала, Характеристик Готовности К Инновациям, Уровня Благосостояния И Качества Жизни Населения," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 4, pages 9-30.
    5. Valery Makarov & Sergey Ayvazyan & Mikhail Afanasyev & Albert Bakhtizin & Ashkhen Nanavyan, 2016. "Modeling the Development of Regional Economy and an Innovation Space Efficiency," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(3), pages 76-91.
    6. Ayvazyan Sergey Arutyunovich & Afanasyev Mikhail Yuryevich, 2015. "Assessment of innovative activity of regions in the Russian federation," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 11(1), pages 7-21.
    7. Айвазян С.А. & Афанасьев М.Ю. & Кудров А.В., 2016. "Модели Производственного Потенциала И Оценки Технологической Эффективности Регионов Рф С Учетом Структуры Производства," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(1), pages 28-44, январь.
    8. Anna Tsvetkova, 2021. "Technical efficiency trends of Russian firms in 2013–2018," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 91-116.

    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. Özbek, Sefa & Naimoğlu, Mustafa, 2025. "The effectiveness of renewable energy technology under the EKC hypothesis and the impact of fossil and nuclear energy investments on the UK's Ecological Footprint," Energy, Elsevier, vol. 322(C).
    2. Lutz Arnold & Christian Bauer, 2009. "On the growth and welfare effects of monopolistic distortions," Journal of Economics, Springer, vol. 97(1), pages 19-40, May.
    3. Llanes Gastón & Trento Stefano, 2011. "Anticommons and Optimal Patent Policy in a Model of Sequential Innovation," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-27, August.
    4. Rahman, Shahidur & King, Maxwell L., 1997. "Marginal-likelihood score-based tests of regression disturbances in the presence of nuisance parameters," Journal of Econometrics, Elsevier, vol. 82(1), pages 81-106.
    5. Guido Cozzi, 2009. "Intellectual Property, Innovation, And Growth: Introduction To The Special Issue," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(4), pages 383-389, September.
    6. Gregory, Allan W. & McCurdy, Thomas H., 1986. "The unbiasedness hypothesis in the forward foreign exchange market: A specification analysis with application to France, Italy, Japan, the United Kingdom and West Germany," European Economic Review, Elsevier, vol. 30(2), pages 365-381, April.
    7. Balassa, Bela, 1990. "Indicative planning in developing countries," Policy Research Working Paper Series 439, The World Bank.
    8. Nils Karlson & Christian Sandström & Karl Wennberg, 2021. "Bureaucrats or Markets in Innovation Policy? – a critique of the entrepreneurial state," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 34(1), pages 81-95, March.
    9. Seyit, Kose & Moomaw, Ronald, 2002. "Knowledge spillovers and regional growth in Europe," ERSA conference papers ersa02p373, European Regional Science Association.
    10. Leogrande, Angelo & Laureti, Lucio & Costantiello, Alberto, 2022. "The Innovation Index in Europe," MPRA Paper 112841, University Library of Munich, Germany.
    11. Dastoor, Naorayex K., 1997. "Testing for conditional heteroskedasticity with misspecified alternative hypotheses," Journal of Econometrics, Elsevier, vol. 82(1), pages 63-80.
    12. Cao, Lihong & Du, Yan & Hansen, Jens Ørding, 2017. "Foreign institutional investors and dividend policy: Evidence from China," International Business Review, Elsevier, vol. 26(5), pages 816-827.
    13. Eric Chiang & Djeto Assane, 2007. "Determinants of music copyright violations on the university campus," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(3), pages 187-204, September.
    14. Shi, Guanming & Chavas, Jean-Paul & Stiegert, Kyle W., 2008. "An Analysis of Bundle Pricing: The Case of the Corn Seed Market," Staff Papers 92212, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    15. Timothy Tyler Brown & Vishnu Murthy, 2020. "Do public health activities pay for themselves? The effect of county‐level public health expenditures on county‐level public assistance medical care benefits in California," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1220-1230, October.
    16. Miceli, Thomas J. & Adelstein, Richard P., 2006. "An economic model of fair use," Information Economics and Policy, Elsevier, vol. 18(4), pages 359-373, November.
    17. Adakum, Abigail Ampomah & Tsiboe, Francis & Clottey, Joseph, 2023. "Taking stock of gender gaps in crop production technology adoption and technical efficiency in Ghana," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 62(01), January.
    18. Bauer, Rob M M J & Nieuwland, Frederick G M C & Verschoor, Willem F C, 1994. "German Stock Market Dynamics," Empirical Economics, Springer, vol. 19(3), pages 397-418.
    19. Shi, Guanming & Stiegert, Kyle & Chavas, Jean Paul, 2010. "An Analysis of Pricing in Horizontal and Vertical Markets: The Case of the Cottonseed Market," Working Papers 201439, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    20. Boldrin Michele & Levine David K., 2009. "Does Intellectual Monopoly Help Innovation?," Review of Law & Economics, De Gruyter, vol. 5(3), pages 991-1024, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:ris:apltrx:0177. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.