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Econometría espacial: una aplicación a los problemas de sobrepeso y obesidad en las provincias de Argentina
[Spatial econometrics: an application to obesity indicators in Argentinian provinces]

Author

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  • Viego, Valentina
  • Temporelli, Karina

Abstract

Despite their vigorous expansion in the last 30 years in the field of econometrics, spatial models are still not widely disseminated in the empirical literature in Argentina focused on quantitative aspects of regional scope. This paper aims to present the central lines of spatial econometric analysis applied to the problem of overweight in the population and its determinants. We use provincial data from the National Survey on Risk Factors. The results show that conventional econometric tools are insufficient for identifying the individual impact of income, poverty or education on the phenomenon of overweight.

Suggested Citation

  • Viego, Valentina & Temporelli, Karina, 2010. "Econometría espacial: una aplicación a los problemas de sobrepeso y obesidad en las provincias de Argentina [Spatial econometrics: an application to obesity indicators in Argentinian provinces]," MPRA Paper 26878, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:26878
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    References listed on IDEAS

    as
    1. Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
    2. Paelinck, J., 1978. "Spatial econometrics," Economics Letters, Elsevier, vol. 1(1), pages 59-63.
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    4. Parent, Olivier & LeSage, James P., 2011. "A space-time filter for panel data models containing random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 475-490, January.
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    More about this item

    Keywords

    econometría espacial; obesidad; sobrepeso;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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