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Modelos mixtos generalizados para el estudio del desempleo en los grandes aglomerados urbanos de Argentina

Author

Listed:
  • Fernando García

    (Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Estadística y Demografía (Córdoba, Argentina))

  • Margarita Díaz

    (Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Estadística y Demografía (Córdoba, Argentina))

Abstract

El objetivo de este trabajo es identificar los factores de riesgo socioeconómicos y demográfico que influyen en la condición de empleo en los principales aglomerados urbanos de Argentina mediante un Modelo Lineal Generalizado Mixto. En este artículo se aplica un modelo logístico que incorpora efectos fijos y aleatorios y se evalúa la evolución promedio marginal inducida por el modelo a través de la marginalización de sus resultados. Para la estimación se utilizaron los datos prevenientes de la Encuesta Permanente de Hogares período 2004-2005. Para el conjunto de datos analizados, la modelación realizada proporcionó similares conclusiones a las arribadas en un estudio previo en el que se trabajó con un enfoque marginal. / 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.

Suggested Citation

  • Fernando García & Margarita Díaz, 2011. "Modelos mixtos generalizados para el estudio del desempleo en los grandes aglomerados urbanos de Argentina," Revista de Economía y Estadística, Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas, vol. 49(1), pages 79-98, Junio.
  • Handle: RePEc:ief:reveye:v:49:y:2011:i:1:p:79-98
    DOI: 10.55444/2451.7321.2011.v49.n1.6510
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    More about this item

    Keywords

    Condición de empleo; modelo lineal generalizado mixto; marginalización del modelo mixto;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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