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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]

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

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.

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File URL: http://mpra.ub.uni-muenchen.de/41138/1/MPRA_paper_41138.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 41138.

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Date of creation: 2012
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Handle: RePEc:pra:mprapa:41138
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  1. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
  2. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
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  5. 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.
  6. Smith, Adam, 1776. "An Inquiry into the Nature and Causes of the Wealth of Nations," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number smith1776.
  7. 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.
  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. 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, Pion Ltd, London, vol. 7(4), pages 455-472, April.
  10. 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.
  11. 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.
  12. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
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