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XTHYBRID: Stata module to estimate hybrid and correlated random effect (Mundlak) models within the framework of generalized linear mixed models (GLMM)


  • Francisco (Paco) Perales

    () (University of Queensland)

  • Reinhard Schunck

    () (GESIS - Institute for the Social Sciences)


xthybrid estimates generalized linear mixed models that split the effects of cluster-varying covariates on the outcome variable into within-cluster and between-cluster effects. xthybrid can fit hybrid models (Allison 2009) as well as correlated random effect models (Mundlak 1978). The xthybrid routine is an expansion of the mundlak command. Unlike the latter, it enables the estimation of generalized linear mixed models using any feasible permutation of distributions (Gaussian, Bernoulli, Gamma, Negative binomial, Ordinal, Poisson) and link functions (Identity, Log, Logit, Probit, Cloglog). These permutations can be used to approximate fixed effect estimates for specifications in which a fixed effect estimator is not available or has not been implemented in Stata (e.g. probit models, ordered probit models, ordered logit models, or negative binomial models).

Suggested Citation

  • Francisco (Paco) Perales & Reinhard Schunck, 2016. "XTHYBRID: Stata module to estimate hybrid and correlated random effect (Mundlak) models within the framework of generalized linear mixed models (GLMM)," Statistical Software Components S458146, Boston College Department of Economics, revised 18 May 2017.
  • Handle: RePEc:boc:bocode:s458146
    Note: This module should be installed from within Stata by typing "ssc install xthybrid". Windows users should not attempt to download these files with a web browser.

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    Cited by:

    1. Bianca Steliana Pîra (Beşa), 2014. "Preparing The Euro Changeover – Romania'S Case," Romanian Economic Business Review, Romanian-American University, vol. 8(2), pages 392-409, December.


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