Micro–Macro Multilevel Analysis for Discrete Data

Margot Bennink, Marcel A. Croon and Jeroen K. Vermunt

Sociological Methods & Research, 2013, vol. 42, issue 4, 431-457

Abstract: A multilevel regression model is proposed in which discrete individual-level variables are used as predictors of discrete group-level outcomes. It generalizes the model proposed by Croon and van Veldhoven for analyzing micro–macro relations with continuous variables by making use of a specific type of latent class model. A first simulation study shows that this approach performs better than more traditional aggregation and disaggreagtion procedures. A second simulation study shows that the proposed latent variable approach still works well in a more complex model, but that a larger number of level-2 units is needed to retain sufficient power. The more complex model is illustrated with an empirical example in which data from a personal network are used to analyze the interaction effect of being religious and surrounding yourself with married people on the probability of being married.

Keywords: generalized linear modeling; multilevel analysis; level-2 outcome; latent class analysis; latent variable; micro–macro analysis; personal network; marriage; religion (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:42:y:2013:i:4:p:431-457

DOI: 10.1177/0049124113500479

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