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]
AbstractSpatial 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 41138.
Date of creation: 2012
Date of revision:
Econometría Espacial; Autocorrelación Espacial; Fecundidad; Programa Estadístico R;
Find related papers by 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-16 (All new papers)
- NEP-DEM-2012-09-16 (Demographic Economics)
- NEP-ECM-2012-09-16 (Econometrics)
- NEP-GEO-2012-09-16 (Economic Geography)
- NEP-LAM-2012-09-16 (Central & South America)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
- Ruud, Paul A., 2000. "An Introduction to Classical Econometric Theory," OUP Catalogue, Oxford University Press, number 9780195111644.
- 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.
- Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).
If references are entirely missing, you can add them using this form.