IDEAS home Printed from https://ideas.repec.org/a/eee/econom/v46y1990i1-2p165-183.html
   My bibliography  Save this article

Moment-based estimation and testing of stochastic frontier models

Author

Listed:
  • Kopp, Raymond J.
  • Mullahy, John

Abstract

No abstract is available for this item.

Suggested Citation

  • Kopp, Raymond J. & Mullahy, John, 1990. "Moment-based estimation and testing of stochastic frontier models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 165-183.
  • Handle: RePEc:eee:econom:v:46:y:1990:i:1-2:p:165-183
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0304-4076(90)90053-V
    Download Restriction: Full text for ScienceDirect subscribers only

    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. King, Maxwell L. & Evans, Merran A., 1988. "Locally Optimal Properties of the Durbin-Watson Test," Econometric Theory, Cambridge University Press, vol. 4(03), pages 509-516, December.
    2. Davis, Richard & Resnick, Sidney, 1985. "More limit theory for the sample correlation function of moving averages," Stochastic Processes and their Applications, Elsevier, vol. 20(2), pages 257-279, September.
    3. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, pages 277-301.
    4. Donald W.K. Andrews, 1986. "On the Performance of Least Squares in Linear Regression with Undefined Error Means," Cowles Foundation Discussion Papers 798, Cowles Foundation for Research in Economics, Yale University.
    5. King, Maxwell L. & Wu, Ping X., 1991. "Small-disturbance asymptotics and the Durbin-Watson and related tests in the dynamic regression model," Journal of Econometrics, Elsevier, vol. 47(1), pages 145-152, January.
    6. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, pages 277-301.
    7. Kariya, Takeaki, 1988. "The Class of Models for which the Durbin-Watson Test is Locally Optimal," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(1), pages 167-175, February.
    8. repec:jns:jbstat:v:185:y:1971:i:4:p:345-358:n:5 is not listed on IDEAS
    9. Bartels, Robert & Goodhew, John, 1981. "The Robustness of the Durbin-Watson Test," The Review of Economics and Statistics, MIT Press, vol. 63(1), pages 136-139, February.
    10. Peter C.B. Phillips & Vassilis A. Hajivassiliou, 1987. "Bimodal t-Ratios," Cowles Foundation Discussion Papers 842, Cowles Foundation for Research in Economics, Yale University.
    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. Chen, Yi-Yi & Wang, Hung-Jen, 2004. "A method of moments estimator for a stochastic frontier model with errors in variables," Economics Letters, Elsevier, vol. 85(2), pages 221-228, November.
    2. Maira Caño- Guiral, 1995. "Competitividad y eficiencia técnica. Un modelo de datos panel para la industria láctea uruguaya," Documentos de Trabajo (working papers) 0795, Department of Economics - dECON.
    3. Schure, Paul & Wagenvoort, Rien & O'Brien, Dermot, 2004. "The efficiency and the conduct of European banks: Developments after 1992," Review of Financial Economics, Elsevier, pages 371-396.
    4. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    5. Sheriff, Glenn, 2009. "Implementing second-best environmental policy under adverse selection," Journal of Environmental Economics and Management, Elsevier, vol. 57(3), pages 253-268, May.
    6. Xu Guo & Gao-Rong Li & Wing-Keung Wong & Michael McAleer, 2017. "Specification Testing of Production in a Stochastic Frontier Model," Documentos de Trabajo del ICAE 2017-23, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Li, Qi, 1996. "Estimating a stochastic production frontier when the adjusted error is symmetric," Economics Letters, Elsevier, pages 221-228.
    8. John Mullahy & Jody L. Sindelar, 1995. "Health, Income, and Risk Aversion: Assessing Some Welfare Costs of Alcoholism and Poor Health," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 439-459.
    9. Song, Junmo & Oh, Dong-hyun & Kang, Jiwon, 2017. "Robust estimation in stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 243-267.
    10. Cliff Huang & Tsu-Tan Fu, 1999. "An Average Derivative Estimation of Stochastic Frontiers," Journal of Productivity Analysis, Springer, vol. 12(1), pages 45-53, August.
    11. Wagenvoort, Rien & Schure, Paul, 1999. "The Recursive Thick Frontier Approach to Estimating Efficiency," Economic and Financial Reports 1999/2, European Investment Bank, Economics Department.
    12. Wei Wang & Christine Amsler & Peter Schmidt, 2011. "Goodness of fit tests in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 95-118, April.
    13. Boisvert, Richard N. & Chang, Hung-Hao, 2005. "Explaining Participation in the Conservation Reserve Program and its Effects on Farm Productivity and Efficiency," 2005 Annual meeting, July 24-27, Providence, RI 19321, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Sheriff, Glenn, 2006. "Empirical Calibration of a Least-Cost Conservation Reserve Program," 2006 Annual meeting, July 23-26, Long Beach, CA 21420, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Pizer, William & Harrington, Winston & Shih, Jhih-Shyang & Gillingham, Kenneth, 2004. "Economies of Scale and Technical Efficiency in Community Water Systems," Discussion Papers dp-04-15, Resources For the Future.
    16. C. O’Donnell, 2014. "Econometric estimation of distance functions and associated measures of productivity and efficiency change," Journal of Productivity Analysis, Springer, vol. 41(2), pages 187-200, April.
    17. Park, Soo-Uk & Lesourd, Jean-Baptiste, 2000. "The efficiency of conventional fuel power plants in South Korea: A comparison of parametric and non-parametric approaches," International Journal of Production Economics, Elsevier, vol. 63(1), pages 59-67, January.
    18. Rien J. L. M. Wagenvoort & Paul H. Schure, 2006. "A Recursive Thick Frontier Approach to Estimating Production Efficiency," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, pages 183-201.
    19. Martin, Sheila Ann, 1992. "The effectiveness of state technology incentives: evidence from the machine tool industry," ISU General Staff Papers 1992010108000011381, Iowa State University, Department of Economics.

    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:eee:econom:v:46:y:1990:i:1-2:p:165-183. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/jeconom .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.