IDEAS home Printed from https://ideas.repec.org/a/ecm/emetrp/v67y1999i2p427-434.html
   My bibliography  Save this article

A Root-N Consistent Semiparametric Estimator for Related-Effect Binary Response Panel Data

Author

Listed:
  • Myoung-jae Lee

Abstract

No abstract is available for this item.

Suggested Citation

  • Myoung-jae Lee, 1999. "A Root-N Consistent Semiparametric Estimator for Related-Effect Binary Response Panel Data," Econometrica, Econometric Society, vol. 67(2), pages 427-434, March.
    • Handle: RePEc:ecm:emetrp:v:67:y:1999:i:2:p:427-434
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Koen Jochmans & Thierry Magnac, 2017. "A note on sufficiency in binary panel models," Econometrics Journal, Royal Economic Society, vol. 20(2), pages 259-269, June.
    2. Stefan Hoderlein & Yuya Sasaki, 2011. "On the role of time in nonseparable panel data models," CeMMAP working papers CWP15/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Lee, Myoung-jae, 2001. "First-difference estimator for panel censored-selection models," Economics Letters, Elsevier, vol. 70(1), pages 43-49, January.
    4. repec:hal:spmain:info:hdl:2441/2t7dgrpjh58e9a93hqot3nu9k3 is not listed on IDEAS
    5. Bo E. Honore & Arthur Lewbel, 2002. "Semiparametric Binary Choice Panel Data Models Without Strictly Exogeneous Regressors," Econometrica, Econometric Society, vol. 70(5), pages 2053-2063, September.
    6. Ai, Chunrong & Gan, Li, 2010. "An alternative root-n consistent estimator for panel data binary choice models," Journal of Econometrics, Elsevier, vol. 157(1), pages 93-100, July.
    7. Kan K & Lee M, 2009. "Lose Weight for Money Only if Over-Weight: Marginal Integration for Semi-Linear Panel Models," Health, Econometrics and Data Group (HEDG) Working Papers 09/19, HEDG, c/o Department of Economics, University of York.
    8. repec:hal:wpspec:info:hdl:2441/2t7dgrpjh58e9a93hqot3nu9k3 is not listed on IDEAS
    9. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    10. Subbotin, Viktor, 2008. "Essays on the econometric theory of rank regressions," MPRA Paper 14086, University Library of Munich, Germany.
    11. Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
    12. Myoung-jae Lee & Yasushi Kondo, 2002. "Nonparametric Derivative Estimation for Related-Effect Panel Data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-1, International Conferences on Panel Data.
    13. Manuel Arellano, 2003. "Discrete choices with panel data," Investigaciones Economicas, Fundación SEPI, vol. 27(3), pages 423-458, September.
    14. Fran�ois Laisney & Michael Lechner, 2003. "Almost Consistent Estimation of Panel Probit Models with "Small" Fixed Effects," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 1-28, February.
    15. Subbotin, Viktor, 2007. "Asymptotic and bootstrap properties of rank regressions," MPRA Paper 9030, University Library of Munich, Germany, revised 20 Mar 2008.
    16. Arthur Lewbel, 2005. "Simple Endogenous Binary Choice and Selection Panel Model Estimators," Boston College Working Papers in Economics 613, Boston College Department of Economics, revised 04 Sep 2006.
    17. Jacob N. Arendt, 2002. "Endogeneity and Heterogeneity in LDV Panel Data Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D6-1, International Conferences on Panel Data.
    18. Koen Jochmans & Thierry Magnac, 2017. "A note on sufficiency in binary panel models," Econometrics Journal, Royal Economic Society, vol. 20(2), pages 259-269, June.
    19. Lee, Myoung-jae & Cho, Myeong-hyeon, 2002. "Validity of LSE for trimmed and differenced panel data due to absorbing attrition," Economics Letters, Elsevier, vol. 74(2), pages 251-256, January.
    20. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Dec 2023.

    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:ecm:emetrp:v:67:y:1999:i:2:p:427-434. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.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.