Spatial Shift-Share Analysis Versus Spatial Filtering: An Application to Spanish Employment Data
Spatial Shift-Share Analysis Versus Spatial Filtering: An Application to Spanish Employment Data
复制标题
空间转移份额分析与空间过滤：西班牙就业数据的应用
DOI：
10.1007/978-3-7908-2070-6_7
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
A. J. L. Menéndez
中科院分区：
文献类型：
--
作者：
M. Fernández;A. J. L. Menéndez
本研究的目的是分析空间效应在区域就业演变中的影响，从而改进对现有差异的解释。为此，提出了两种非参数化的方法：空间移位-份额分析和空间滤波。空间转移份额模型的基础上预先定义的空间权重矩阵允许识别和估计的空间效应。此外，可以使用空间过滤技术，以消除空间相关性的影响，从而可以将就业变化分解为两个部分，分别与空间和结构影响有关。这两种技术在西班牙的区域就业的空间分析的应用导致一些有趣的发现，并显示了每个考虑的程序的主要优点和局限性，连同量化的敏感性方面考虑的权重矩阵。
The aim of this work is to analyse the influence of spatial effects in the evolution of regional employment, thus improving the explanation of the existing differences. With this aim, two non-parametric techniques are proposed: spatial shift-share analysis and spatial filtering. Spatial shift-share models based on previously defined spatial weights matrix allow the identification and estimation of the spatial effects. Furthermore, spatial filtering techniques can be used in order to remove the effects of spatial correlation, thus allowing the decomposition of the employment variation into two components, respectively related to the spatial and structural effects. The application of both techniques to the spatial analysis of regional employment in Spain leads to some interesting findings and shows the main advantages and limitations of each of the considered procedures, together with the quantification of their sensitivity with regard to the considered weights matrix.