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文章基本信息

  • 标题:The Biggest Myth in Spatial Econometrics
  • 本地全文:下载
  • 作者:LeSage, James ; R., Kelley Pace
  • 期刊名称:Econometrics
  • 印刷版ISSN:2225-1146
  • 出版年度:2014
  • 卷号:2
  • 期号:4
  • 页码:217-249
  • 出版社:MDPI, Open Access Journal
  • 摘要:There is near universal agreement that estimates and inferences from spatial regression models are sensitive to particular specifications used for the spatial weight structure in these models. We find little theoretical basis for this commonly held belief, if estimates and inferences are based on the true partial derivatives for a well-specified spatial regression model. We conclude that this myth may have arisen from past applied work that incorrectly interpreted the model coefficients as if they were partial derivatives, or from use of misspecified models.
  • 关键词:indirect effects; spatial regression estimates; sensitivity to spatial weights
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