Advanced Search
MyIDEAS: Login to save this article or follow this journal

Improved estimation procedures for multilevel models with binary response: a case-study

Contents:

Author Info

  • Germán Rodríguez
  • Noreen Goldman
Registered author(s):

    Abstract

    No abstract is available for this item.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/1467-985X.00206
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society).

    Volume (Year): 164 (2001)
    Issue (Month): 2 ()
    Pages: 339-355

    as in new window
    Handle: RePEc:bla:jorssa:v:164:y:2001:i:2:p:339-355

    Contact details of provider:
    Postal: 12 Errol Street, London EC1Y 8LX, United Kingdom
    Phone: -44-171-638-8998
    Fax: -44-171-256-7598
    Email:
    Web page: http://wileyonlinelibrary.com/journal/rssa
    More information through EDIRC

    Order Information:
    Web: http://ordering.onlinelibrary.wiley.com/subs.asp?ref=1467-985X&doi=10.1111/(ISSN)1467-985X

    Related research

    Keywords:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

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

    Cited by:
    1. Sun-Joo Cho & Paul Boeck & Susan Embretson & Sophia Rabe-Hesketh, 2014. "Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation," Psychometrika, Springer, vol. 79(1), pages 84-104, January.
    2. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
    3. repec:ese:iserwp:2013-14 is not listed on IDEAS
    4. Bernhard Boockmann. & Dragana Djurdjevic. & Guillaume Horny. & François Laisney., 2009. "Bayesian estimation of Cox models with non-nested random effects: an application to the ratification of ILO conventions by developing countries," Working papers 249, Banque de France.
    5. Salamon, Petra & Weible, Daniela & Buergelt, Doreen & Christoph, Inken B. & Peter, Guenter, 2012. "Individual and context factors determine gender-specific behaviour: the case of school milk in Germany," 2012 AAEA/EAAE Food Environment Symposium, May 30-31, Boston, MA 123532, Agricultural and Applied Economics Association.
    6. Weible, Daniela & Burgelt, Doreen & Christoph, Inken B. & Peter, Guenter & Rothe, Andrea & Salamon, Petra & Weber, Sascha A., 2011. "School milk demand in Germany: The role of individual and contextual factors - preliminary results," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115739, European Association of Agricultural Economists.
    7. Van Oirbeek, R. & Lesaffre, E., 2012. "Assessing the predictive ability of a multilevel binary regression model," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1966-1980.
    8. Alexandre Marinho & Simone de Souza Cardoso, 2006. "Um Estudo Multinível Sobre as Filas Para Internações Relacionadas com a Gravidez, o Parto e o Puerpério no SUS," Discussion Papers 1151, Instituto de Pesquisa Econômica Aplicada - IPEA.
    9. Bryan, Mark L. & Jenkins, Stephen P., 2013. "Regression Analysis of Country Effects Using Multilevel Data: A Cautionary Tale," IZA Discussion Papers 7583, Institute for the Study of Labor (IZA).
    10. Haile, Getinet Astatike, 2009. "Workplace Job Satisfaction in Britain: Evidence from Linked Employer-Employee Data," IZA Discussion Papers 4101, Institute for the Study of Labor (IZA).
    11. Cho, S.-J. & Rabe-Hesketh, S., 2011. "Alternating imputation posterior estimation of models with crossed random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 12-25, January.
    12. Diana Miglioretti & Patrick Heagerty, 2004. "Marginal Modeling of Multilevel Binary Data with Time-Varying Covariates," UW Biostatistics Working Paper Series 1050, Berkeley Electronic Press.
    13. Weible, Daniela & Salamon, Petra & Christoph-Schulz, Inken B. & Peter, Guenter, 2013. "How do political, individual and contextual factors affect school milk demand? Empirical evidence from primary schools in Germany," Food Policy, Elsevier, vol. 43(C), pages 148-158.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:bla:jorssa:v:164:y:2001:i:2:p:339-355. 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.