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A note on partitioning effects estimates over space

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  • Christa Jensen
  • Donald Lacombe

Abstract

In this paper we provide an applied example for calculating the so-called effects estimates of LeSage and Pace (2009) for partitions of the impacts over space. While the partitioning of the impacts by orders of neighbors over space for the spatial autoregressive (SAR) model is a relatively straightforward procedure, care must be taken in the case of the spatial Durbin model (SDM). We provide an illustration of these calculations for both models using a widely available data set on voter turnout for the 1980 United States presidential election.
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Suggested Citation

  • Christa Jensen & Donald Lacombe, 2012. "A note on partitioning effects estimates over space," Letters in Spatial and Resource Sciences, Springer, vol. 5(1), pages 47-53, March.
    • Handle: RePEc:spr:lsprsc:v:5:y:2012:i:1:p:47-53
    DOI: 10.1007/s12076-011-0070-z
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    References listed on IDEAS

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    1. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
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    More about this item

    Keywords

    Spatial econometrics; Interpretation; Marginal/partitioned effects; Effects estimates; C31; C18;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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