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Модели Оценки Человеческого Капитала Компании, Основанные На Концепции Стохастической Границы

Author

Listed:
  • Айвазян С.А.
  • Афанасьев М.Ю.

Abstract

В развитие методологии оценки производственного потенциала компании предложен подход к оценке ее человеческого капитала, основанный на концепции стохастической границы. Представлены результаты эмпирического анализа человеческого капитала научной организации, подтверждающие возможность применения предложенного подхода для оценки объема и эффективности человеческого капитала как компании, так и ее сотрудников.

Suggested Citation

  • Айвазян С.А. & Афанасьев М.Ю., 2012. "Модели Оценки Человеческого Капитала Компании, Основанные На Концепции Стохастической Границы," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 48(3), июль.
    • Handle: RePEc:scn:cememm:48-3-4
    Note: Москва
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    References listed on IDEAS

    as
    1. Aivazian, Sergei & Afanasiev, Mikhail, 2009. "Estimation of the Economic Efficiency of a Shift to the Achievable Production Potential," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 43-55.
    2. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    3. Mulligan, Casey B & Sala-i-Martin, Xavier, 2000. "Measuring Aggregate Human Capital," Journal of Economic Growth, Springer, vol. 5(3), pages 215-252, September.
    4. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    5. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    6. Afanasiev, Mikhail, 2006. "A Model of the Production Potential with Managed Factors of Inefficiency," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 4(4), pages 74-89.
    7. Erol Taymaz & Gülin Saatci, 1997. "Technical Change and Efficiency in Turkish Manufacturing Industries," Journal of Productivity Analysis, Springer, vol. 8(4), pages 461-475, November.
    8. Theodore W. Schultz, 1960. "Capital Formation by Education," Journal of Political Economy, University of Chicago Press, vol. 68(6), pages 571-571.
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