IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v3y2003i1p32-46.html
   My bibliography  Save this article

Intra-class correlation in random-effects models for binary data

Author

Listed:
  • German Rodriguez

    (Princeton University)

  • Irma Elo

    (The University of Pennsylvania)

Abstract

We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata's xtprobit, xtlogit, and xtclog. We consider the usual measures of correlation based on a latent variable formulation of these models and note corrections to the last two procedures. We also discuss alternative measures of association based on manifest variables or actual outcomes and introduce a new command xtrho for computing these measures for all three types of models. Copyright 2003 by Stata Corporation.

Suggested Citation

  • German Rodriguez & Irma Elo, 2003. "Intra-class correlation in random-effects models for binary data," Stata Journal, StataCorp LP, vol. 3(1), pages 32-46, March.
  • Handle: RePEc:tsj:stataj:v:3:y:2003:i:1:p:32-46
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/software/sj3-1/st0031/
    Download Restriction: no

    File URL: http://www.stata-journal.com/sjpdf.html?articlenum=st0031
    Download Restriction: no

    Citations

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


    Cited by:

    1. Sun-Joo Cho & Jennifer Gilbert & Amanda Goodwin, 2013. "Explanatory Multidimensional Multilevel Random Item Response Model: An Application to Simultaneous Investigation of Word and Person Contributions to Multidimensional Lexical Representations," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 830-855, October.
    2. Damien Rousselière & Iragaël Joly, 2011. "A propos de la capacité à survivre des coopératives : une étude de la relation entre âge et mortalité des organisations coopératives agricoles françaises," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 92(3), pages 259-289.
    3. John T. Addison & Paulino Teixeira & Alex Bryson & André Pahnke, 2013. "Collective Agreement Status and Survivability: Change and Persistence in the German Model," LABOUR, CEIS, vol. 27(3), pages 288-309, September.
    4. Luis Sagaon TEYSSIER & Nawal ZAAJ, 2015. "Hazard analysis for interval-censored duration of non-employment: school-to-work transition of vocational training graduates in Morocco," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 15(2), pages 161-178.
    5. Martin Srholec, 2015. "Understanding the diversity of cooperation on innovation across countries: multilevel evidence from Europe," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(1-2), pages 159-182, March.
    6. John T. Addison & Alex Bryson & André Pahnke & Paulino Teixeira, 2011. "Change and Persistence in the German Model of Collective Bargaining and Worker Representation," CEP Discussion Papers dp1099, Centre for Economic Performance, LSE.
    7. Addison, John T. & Teixeira, Paulino & Evers, Katalin & Bellmann, Lutz, 2013. "Collective Bargaining and Innovation in Germany: Cooperative Industrial Relations?," IZA Discussion Papers 7871, Institute for the Study of Labor (IZA).
    8. Jeffrey T. Macher & John W. Mayo, 2015. "Influencing public policymaking: Firm-, industry-, and country-level determinants," Strategic Management Journal, Wiley Blackwell, vol. 36(13), pages 2021-2038, December.
    9. Nauleau, Marie-Laure, 2014. "Free-riding on tax credits for home insulation in France: An econometric assessment using panel data," Energy Economics, Elsevier, vol. 46(C), pages 78-92.
    10. Erik R. Vickstrom, 2014. "Legal Status, Territorial Confinement, and Transnational Activities of Senegalese Migrants in France, Italy, and Spain," Working Papers 15-01h, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Migration and Development..
    11. Yue, Chen & Chen, Shaojie & Sair, Haris I. & Airan, Raag & Caffo, Brian S., 2015. "Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 126-133.
    12. Judith Offerhaus, 2013. "The Type to Train?: Impacts of Personality Characteristics on Further Training Participation," SOEPpapers on Multidisciplinary Panel Data Research 531, DIW Berlin, The German Socio-Economic Panel (SOEP).
    13. Conroy, Amy A. & Wong, Lauren H., 2015. "How reliable are self-reports of HIV status disclosure? Evidence from couples in Malawi," Social Science & Medicine, Elsevier, vol. 144(C), pages 28-37.
    14. Addison, John T. & Teixeira, Paulino & Bryson, Alex & Pahnke, André, 2011. "The Structure of Collective Bargaining and Worker Representation: Change and Persistence in the German Model," IZA Discussion Papers 5987, Institute for the Study of Labor (IZA).
    15. Soto, José R. & Adams, Damian C. & Escobedo, Francisco J., 2016. "Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best–worst choice modeling in Florida USA," Forest Policy and Economics, Elsevier, vol. 63(C), pages 35-42.
    16. Khudnitskaya, Alesia S., 2009. "Microenvironment-specific Effects in the Application Credit Scoring Model," MPRA Paper 23175, University Library of Munich, Germany.
    17. Boyd Hunter & Matthew Gray & Ben Edwards, 2013. "The Use of Social Surveys to Measure Drought and the Impact of Drought," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(1), pages 419-432, August.
    18. Lan Vu & Linh Le & Nazeem Muhajarine, 2013. "Multilevel Determinants of Colleges/Universities Enrolment in Vietnam: Evidences from the 15% Sample Data of Population Census 2009," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(1), pages 375-386, March.

    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:tsj:stataj:v:3:y:2003:i:1:p:32-46. 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: (Christopher F. Baum) or (Lisa Gilmore). General contact details of provider: http://www.stata-journal.com/ .

    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.