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Introducción a la econometría espacial: Una aplicación al estudio de la fecundidad en la Argentina usando R
[Introduction to Spatial Econometrics: An application to the study of fertility in Argentina using R]

Author

Listed:
  • Herrera Gómez, Marcos
  • Cid, Juan Carlos
  • Paz, Jorge Augusto

Abstract

Spatial econometrics is a relatively young branch econometric but with a great growth in the last decades. The complexity of spatial analysis and the estimation of spatial models has been the major obstacle for applied studies. The aim of this paper is to contribute to the diffusion of spatial tools developed. Specifically, this paper performs a concise review of the theoretical aspects that involve the spatial treatment. We also present an empirical application of the techniques discussed. Using the statistical program R, we analyze the determinants of fertility in Argentina.

Suggested Citation

  • Herrera Gómez, Marcos & Cid, Juan Carlos & Paz, Jorge Augusto, 2012. "Introducción a la econometría espacial: Una aplicación al estudio de la fecundidad en la Argentina usando R
    [Introduction to Spatial Econometrics: An application to the study of fertility in Argent
    ," MPRA Paper 41138, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:41138
    as

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    File URL: https://mpra.ub.uni-muenchen.de/41138/1/MPRA_paper_41138.pdf
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    References listed on IDEAS

    as
    1. Jesús Mur & Ana Angulo, 2005. "Model selection strategies in a spatial context," Documentos de Trabajo dt2005-06, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    2. Esteban Fernández-Vázquez & Matías Mayor-Fernández & Jorge Rodríguez-Vález, 2009. "Estimating Spatial Autoregressive Models by GME-GCE Techniques," International Regional Science Review, , vol. 32(2), pages 148-172, April.
    3. Ruud, Paul A., 2000. "An Introduction to Classical Econometric Theory," OUP Catalogue, Oxford University Press, number 9780195111644.
    4. P Bodson & D Peeters, 1975. "Estimation of the Coefficients of a Linear Regression in the Presence of Spatial Autocorrelation. An Application to a Belgian Labour-Demand Function," Environment and Planning A, , vol. 7(4), pages 455-472, June.
    5. Henk Folmer & Johan Oud, 2008. "How to get rid of W: a latent variables approach to modelling spatially lagged variables," Environment and Planning A, Pion Ltd, London, vol. 40(10), pages 2526-2538, October.
    6. Michael Tiefelsdorf & Daniel A Griffith, 2007. "Semiparametric filtering of spatial autocorrelation: the eigenvector approach," Environment and Planning A, Pion Ltd, London, vol. 39(5), pages 1193-1221, May.
    7. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    8. Bivand, Roger & Müller, Werner G. & Reder, Markus, 2009. "Power calculations for global and local Moran's," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2859-2872, June.
    9. Jesús Mur & Jean Paelinck, 2011. "Deriving the W-matrix via p-median complete correlation analysis of residuals," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 253-267, October.
    10. Bryant,W. Keith & Zick,Cathleen D., 2006. "The Economic Organization of the Household," Cambridge Books, Cambridge University Press, number 9780521805278, April.
    11. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    12. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    13. Paelinck, J., 1978. "Spatial econometrics," Economics Letters, Elsevier, vol. 1(1), pages 59-63.
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    17. J. Barkley Rosser, 2009. "Introduction," Chapters,in: Handbook of Research on Complexity, chapter 1 Edward Elgar Publishing.
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    More about this item

    Keywords

    Econometría Espacial; Autocorrelación Espacial; Fecundidad; Programa Estadístico R;

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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