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Specifying a joint space- and time-lag using a bivariate Poisson distribution

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  • Daniel Griffith
  • Jean Paelinck

Abstract

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Suggested Citation

  • Daniel Griffith & Jean Paelinck, 2009. "Specifying a joint space- and time-lag using a bivariate Poisson distribution," Journal of Geographical Systems, Springer, vol. 11(1), pages 23-36, March.
    • Handle: RePEc:kap:jgeosy:v:11:y:2009:i:1:p:23-36
    DOI: 10.1007/s10109-008-0075-3
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    References listed on IDEAS

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    1. Daniel A. Griffith, 2000. "A linear regression solution to the spatial autocorrelation problem," Journal of Geographical Systems, Springer, vol. 2(2), pages 141-156, July.
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    Citations

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    Cited by:

    1. Roberto Patuelli & Daniel A. Griffith & Michael Tiefelsdorf & Peter Nijkamp, 2006. "The Use of Spatial Filtering Techniques: The Spatial and Space-time Structure of German Unemployment Data," Tinbergen Institute Discussion Papers 06-049/3, Tinbergen Institute.
    2. Roberto Patuelli & Daniel A. Griffith & Michael Tiefelsdorf & Peter Nijkamp, 2011. "Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data," International Regional Science Review, , vol. 34(2), pages 253-280, April.
    3. Cupido, Kyran & Jevtić, Petar & Paez, Antonio, 2020. "Spatial patterns of mortality in the United States: A spatial filtering approach," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 28-38.

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    More about this item

    Keywords

    Bivariate Poisson; Generalized linear mixed model; Space–time; Value added; Belgium; C1; C4; C5; R1;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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