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Space-Time Lags: Specification Strategy In Spatial Regression Models

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Author Info

  • Fernando A. López Hernández

    (Universidad Politécnica de Cartagena)

  • Coro Chasco Yrigoyen

    (Universidad Autónoma de Madrid)

Abstract

he purpose of this article is to analyse the dynamic trend of spatial dependence, which is not only contemporary but time-lagged in many socio-economic phenomena. Firstly, we show some of the commonly used exploratory spatial data analysis (ESDA) techniques and we propose other new ones, the exploratory space-time data analysis (ESTDA) that evaluates the instantaneity of spatial dependence. We also propose the space-time correlogram as an instrument for a better specification of spatial lag models, which should include both kind of spatial dependence. Some applications with economic data for Spanish provinces shed some light upon these issues.

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File URL: http://128.118.178.162/eps/em/papers/0411/0411005.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Econometrics with number 0411005.

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Length: 21 pages
Date of creation: 08 Nov 2004
Date of revision:
Handle: RePEc:wpa:wuwpem:0411005

Note: Type of Document - pdf; pages: 21
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Web page: http://128.118.178.162

Related research

Keywords: Spatial dependence; spatial diffusion; ESDA; correlogram; Spanish provinces;

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  1. Mobley, Lee R., 2003. "Estimating hospital market pricing: an equilibrium approach using spatial econometrics," Regional Science and Urban Economics, Elsevier, vol. 33(4), pages 489-516, July.
  2. Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002. "Testing Panel Data Regression Models with Spatial Error Correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-4, International Conferences on Panel Data.
  3. Badi H. Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: The Case of Liquor," Center for Policy Research Working Papers 84, Center for Policy Research, Maxwell School, Syracuse University.
  4. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
  5. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
  6. Pace, R. Kelley & Barry, Ronald & Gilley, Otis W. & Sirmans, C. F., 2000. "A method for spatial-temporal forecasting with an application to real estate prices," International Journal of Forecasting, Elsevier, vol. 16(2), pages 229-246.
  7. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-65, July.
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