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Variabilidad Espacial en los Determinantes de la Fecundidad de Argentina (2001-2010). Un Enfoque por Regresiones Geográficamente Ponderadas

Author

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  • Marcos Herrera-Gomez

    (CONICET/IELDE - unas)

  • Juan Carlos Cid

    (IELDE - UNSa)

Abstract

The relationship between fertility and its determinants may be conditioned by social behaviors at the local level. Using geographic information as an approximation of social interactions, this paper analyzes the heterogeneity of the impact of socioeconomic conditions on departmental fertility in Argentina. Using Census data for 2001 and 2010, the fertility among women between 25 and 29 years of age is dependent on socioeconomic variables such as educational level, poverty situation and degree of urbanization, among others. The most significant contribution is the use of geographically weighted regressions (GWR), a technique that makes it possible to detect the presence of a non-stationary spatial process. This means that the linear relationship investigated is not homogeneous throughout the territory, but that the intensity of the effect of the explanatory factors varies locally. The evidence found highlights the need to use econometric techniques that incorporate geographical heterogeneity. Additionally, our results make it possible to distinguish the stage of the demographic transition achieved in different regions of Argentina, highlighting the restrictions posed by material well-being and educational level; and also serve as an input to public policies that seek to include population growth within their objectives.

Suggested Citation

  • Marcos Herrera-Gomez & Juan Carlos Cid, 2021. "Variabilidad Espacial en los Determinantes de la Fecundidad de Argentina (2001-2010). Un Enfoque por Regresiones Geográficamente Ponderadas," Working Papers 101, Red Nacional de Investigadores en Economía (RedNIE).
    • Handle: RePEc:aoz:wpaper:101
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    File URL: https://rednie.eco.unc.edu.ar/files/DT/101.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Fertility; social interactions; spatial heterogeneity. GWR;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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