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Econometría espacial: más luces que sombras

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  • PAELINCK, J.

    ()
    (Departamento de Análisis Económico. Universidad de Zaragoza Gran Vía, 2-4. (50005) Zaragoza. Tel: 976-761815)

  • MUR, J.

    ()
    (Departamento de Análisis Económico. Universidad de Zaragoza Gran Vía, 2-4. (50005) Zaragoza. Tel: 976-761815)

  • TRÍVEZ, J.

    ()
    (Departamento de Análisis Económico. Universidad de Zaragoza Gran Vía, 2-4. (50005) Zaragoza. Tel: 976 761815)

Abstract

La Econometría espacial es una disciplina joven, con apenas 25 años de experiencia, aunque se ha beneficiado de un desarrollo muy intenso. Los fundamentos metodológicos parecen plenamente consolidados y los rendimientos de la investigación son crecientes. Probablemente como consecuencia de la rapidez con la que se han producido los acontecimientos, persisten ciertos vicios entre los especialistas (incluidos los arriba firmantes) que conviene poner de manifiesto, y corregir, para lograr una homologación plena de los usos y métodos de esta disciplina con los de la corriente mayoritaria en Econometría. Continuando con este ejercicio de reflexión, en la segunda parte del trabajo se presentan los ejes fundamentales sobre los que, de acuerdo con los autores, debería evolucionar el programa de investigación futuro en Econometría espacial. Spatial Econometrics is a young discipline, about 25 years old, although it has had a very intense development. Its methodological principles appear to be firmly rooted and research efforts in the area still produce increasing returns. There are still some bad habits among the specialists (including the authors), probably due to the rapid pace of change in the field, which are important to underline, and to correct, in order to reach a full standardisation between the methods employed in the discipline and those that dominate mainstream Econometrics. Extending our reflections, in the second part of the paper we present the main points around which, in our view, the future research programme in Spatial Econometrics must evolve.

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Bibliographic Info

Article provided by Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

Volume (Year): 22 (2004)
Issue (Month): (Diciembre)
Pages: 1-19

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Handle: RePEc:lrk:eeaart:22_3_1

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Related research

Keywords: Econometrics; Space; Methodology;

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References

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  1. Giacomini, Raffaella & Granger, Clive W. J., 2004. "Aggregation of space-time processes," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 7-26.
  2. Holly,Sean & Weale,Martin (ed.), 2000. "Econometric Modelling," Cambridge Books, Cambridge University Press, number 9780521650694, October.
  3. Papell, David H., 1997. "Searching for stationarity: Purchasing power parity under the current float," Journal of International Economics, Elsevier, vol. 43(3-4), pages 313-332, November.
  4. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-33, May.
  5. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
  6. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
  7. Chen, Xiaoheng & Conley, Timothy G., 2001. "A new semiparametric spatial model for panel time series," Journal of Econometrics, Elsevier, vol. 105(1), pages 59-83, November.
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