IDEAS home Printed from https://ideas.repec.org/a/spr/metrik/v31y1984i1p33-41.html

Are robust estimation methods useful in the structural errors-in-variables model?

Author

Listed:
  • R. Ketellapper
  • A. Ronner

Abstract

No abstract is available for this item.

Suggested Citation

  • R. Ketellapper & A. Ronner, 1984. "Are robust estimation methods useful in the structural errors-in-variables model?," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 31(1), pages 33-41, December.
    • Handle: RePEc:spr:metrik:v:31:y:1984:i:1:p:33-41
    DOI: 10.1007/BF01915180
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF01915180
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF01915180?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Krasker, William S, 1980. "Estimation in Linear Regression Models with Disparate Data Points," Econometrica, Econometric Society, vol. 48(6), pages 1333-1346, September.
    2. H. Schneeweiß, 1976. "Consistent estimation of a regression with errors in the variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 23(1), pages 101-115, December.
    3. Moran, P. A. P., 1971. "Estimating structural and functional relationships," Journal of Multivariate Analysis, Elsevier, vol. 1(2), pages 232-255, June.
    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. Fekri, M. & Ruiz-Gazen, A., 2004. "Robust weighted orthogonal regression in the errors-in-variables model," Journal of Multivariate Analysis, Elsevier, vol. 88(1), pages 89-108, January.

    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. Shalabh, 1998. "Improved Estimation in Measurement Error Models Through Stein Rule Procedure," Journal of Multivariate Analysis, Elsevier, vol. 67(1), pages 35-48, October.
    2. A. Ronner & A. Steerneman, 1985. "The occurrence of outliers in the explanatory variable considered in an errors-in-variables framework," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 32(1), pages 97-107, December.
    3. Tak Mak & Fassil Nebebe, 2009. "Numerical approximation of conditional asymptotic variances using Monte Carlo simulation," Computational Statistics, Springer, vol. 24(2), pages 333-344, May.
    4. Patriota, Alexandre G. & Bolfarine, Heleno & Arellano-Valle, Reinaldo B., 2011. "A multivariate ultrastructural errors-in-variables model with equation error," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 386-392, February.
    5. Franco Peracchi, 1988. "Robust M-Estimators," UCLA Economics Working Papers 477, UCLA Department of Economics.
    6. Franco Peracchi, 1988. "Robust Estimators of Regression," UCLA Economics Working Papers 476, UCLA Department of Economics.
    7. Jain, Kanchan & Singh, Sukhbir & Sharma, Suresh, 2011. "Restricted estimation in multivariate measurement error regression model," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 264-280, February.
    8. A. Saleh & Jan Picek & Jan Kalina, 2012. "R-estimation of the parameters of a multiple regression model with measurement errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(3), pages 311-328, April.
    9. Schneeweiss, H. & Shalabh, H., 2007. "On the estimation of the linear relation when the error variances are known," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 1143-1148, October.
    10. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
    11. Li, Junbao & Shi, Zhanzhong & He, Chengying & Lv, Chengshuang, 2023. "Peer effects on corporate R&D investment policies: A spatial panel model approach," Journal of Business Research, Elsevier, vol. 158(C).
    12. Shalabh & Garg, Gaurav & Misra, Neeraj, 2007. "Restricted regression estimation in measurement error models," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 1149-1166, October.
    13. Longcheen Huwang & Y. Steve Huang & Yi-Hua Tina Wang, 2009. "Uniformly robust tests in errors-in-variables models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(4), pages 789-810, December.
    14. Kim, H.M. & Saleh, A.K.Md.Ehsanes, 2005. "Improved estimation of regression parameters in measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 95(2), pages 273-300, August.
    15. Mick Silver & Christos Ioannidis, 2001. "Intercountry Differences in the Relationship between Relative Price Variability and Average Prices," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 355-374, April.
    16. Sukhbir Singh & Kanchan Jain & Suresh Sharma, 2014. "Replicated measurement error model under exact linear restrictions," Statistical Papers, Springer, vol. 55(2), pages 253-274, May.
    17. Franco Peracchi, 1988. "Bounded Influence Estimators for the Censored Regression Model," UCLA Economics Working Papers 487, UCLA Department of Economics.
    18. J. Healy, 1979. "On kristof's test for a linear relation between true scores of two measures," Psychometrika, Springer;The Psychometric Society, vol. 44(2), pages 235-238, June.
    19. Guo, Meixi & Ghosh, Malay, 2012. "Mean squared error of James–Stein estimators for measurement error models," Statistics & Probability Letters, Elsevier, vol. 82(11), pages 2033-2043.
    20. Cheng, C.-L. & Shalabh, & Garg, G., 2014. "Coefficient of determination for multiple measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 137-152.

    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:spr:metrik:v:31:y:1984:i:1:p:33-41. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.