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Modelos De Heterogeneidad Espacial

Author

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  • Coro Chasco Yrigoyen

    (Universidad Autónoma de Madrid)

Abstract

La heterogeneidad espacial es uno de los efectos espaciales (además de la autocorrelación espacial, que es un efecto más conocido) que está relacionado con la diferenciación espacial o regional de las unidades geográficas. Se trata de un concepto que viene definido por la ausencia de estabilidad en el espacio del comportamiento humano o de otras relaciones en estudio. Esto implicará que, en los modelos espaciales, las formas funcionales y los parámetros variarán con la localización geográfica no siendo homogéneos para toda la matriz de datos. Esto es lo que ocurre, por ejemplo, en los modelos econométricos estimados con datos de corte transversal procedentes de unidades espaciales no similares, como es el caso de regiones ricas del norte y regiones pobres del sur. A diferencia de lo que sucede con la dependencia espacial, el problema causado por la heterogeneidad espacial podría en gran parte ser resuelto mediante procedimientos de la econometría estándar (como el análisis cluster). Sin embargo, en algunos casos, la compleja interacción resultante de la estructura y los flujos espaciales pueden generar dependencia espacial combinada con heterogeneidad espacial, haciéndose altamente complicado distinguir entre ambos efectos. En este artículo, se presentan las especificaciones que, para este efecto de heterogeneidad espacial, se han presentado en la literatura, que se acompañan de algunos ejemplos y de una bibliografía muy útil para quien desee profundizar en alguno de estos temas.

Suggested Citation

  • Coro Chasco Yrigoyen, 2004. "Modelos De Heterogeneidad Espacial," Econometrics 0411004, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpem:0411004
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    References listed on IDEAS

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    1. Griffith, Daniel A., 1992. "A spatially adjusted N-way ANOVA model," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 347-369, September.
    2. A. Stewart Fotheringham & Martin Charlton & Chris Brunsdon, 1997. "Measuring Spatial Variations in Relationships with Geographically Weighted Regression," Advances in Spatial Science, in: Manfred M. Fischer & Arthur Getis (ed.), Recent Developments in Spatial Analysis, chapter 4, pages 60-82, Springer.
    3. Rosina Moreno Serrano & Manuel Artis Ortuno & Enrique Lopez Bazo & Jordi Surinach Caralt, 1997. "Evidence on the complex link between infrastructure and regional growth," Working Papers in Economics 19, Universitat de Barcelona. Espai de Recerca en Economia.
    4. Gustav Kristensen, 1998. "Spatial heterogeneity in Danish urban areas: The expansion method philosophy and variable autocorrelated residuals," ERSA conference papers ersa98p362, European Regional Science Association.
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    Cited by:

    1. Ibeas, Ángel & Cordera, Ruben & dell'Olio, Luigi & Moura, Jose Luis, 2011. "Modelling demand in restricted parking zones," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 485-498, July.
    2. Carlos Daniel Navarro, 2015. "Migración y Desempleo: Un análisis espacial para el Noroeste Argentino," Working Papers 14, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.

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    More about this item

    Keywords

    Heterogeneidad espacial; efectos espaciales; econometría espacial.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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