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文章基本信息

  • 标题:Testing for Cross-Sectional Dependence in a RandomEffects Model
  • 本地全文:下载
  • 作者:Afees Salisu ; Sam Olofin ; Eugene Kouassi
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2012
  • 卷号:2
  • 期号:1
  • 页码:88-97
  • DOI:10.4236/ojs.2012.21009
  • 出版社:Scientific Research Publishing
  • 摘要:This paper extends and generalizes the works of [1,2] to allow for cross-sectional dependence in the context of a two-way error components model and consequently develops LM test. The cross-sectional dependence follows the first order spatial autoregressive error (SAE) process and is imposed on the remainder disturbances. It is important to note that this paper does not consider alternative forms of spatial lag dependence other than SAE. It also does not allow for endogeneity of the regressors and requires the normality assumption to derive the LM test.
  • 关键词:Cross-Sectional Dependence; Error Components Model; Lagrangian Multiplier (LM) Tests
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