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

Listed author(s):
  • German Rodriguez

    (Princeton University)

  • Irma Elo

    (The University of Pennsylvania)

Registered author(s):

    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.

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    Article provided by StataCorp LP in its journal Stata Journal.

    Volume (Year): 3 (2003)
    Issue (Month): 1 (March)
    Pages: 32-46

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    Handle: RePEc:tsj:stataj:v:3:y:2003:i:1:p:32-46
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