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Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina.
The aim of this analysis is to identify the socio-economic and demographics risk factors that affect the employment status in the main Argentine’s urban areas by a Generalized Linear Mixed Models. In this article, we present a technique to estimate a logistic model which has the possibility of inclu...
The aim of this analysis is to identify the socio-economic and demographics risk factors that affect the employment status in the main Argentine’s urban areas by a Generalized Linear Mixed Models. In this article, we present a technique to estimate a logistic model which has the possibility of include fixed or random effects. In addition, it is possible to make the marginalization of the results in order to evaluate the marginal average evolution induced by the mixed model. The procedure is illustrated by using data from the Permanent Household Survey for the period 2004-2005. The results in this study provided similar findings to the above in a previous study in which we worked with a marginal model.
