论文标题
功能SAC模型：应用于空间计量经济学
Functional SAC model: With application to spatial econometrics
论文作者
论文摘要
在文献中广泛研究了空间自回旋组合（SAC）模型，用于分析各个领域的空间数据，例如地理，经济学，人口统计学，区域科学。这是一个线性模型，具有标量响应，标量解释变量，并且可以在因变量和干扰中进行空间相互作用。在这项工作中，我们将这种建模方法从标量扩展到功能协变量。模型的参数是通过最大似然估计方法估算的。进行了仿真研究，以评估所提出的方法的性能。作为例证，该模型用于在塞内加尔建立失业与文盲之间的关系。
Spatial autoregressive combined (SAC) model has been widely studied in the literature for the analysis of spatial data in various areas such as geography, economics, demography, regional sciences. This is a linear model with scalar response, scalar explanatory variables and which allows for spatial interactions in the dependent variable and the disturbances. In this work we extend this modeling approach from scalar to functional covariate. The parameters of the model are estimated via the maximum likelihood estimation method. A simulation study is conducted to evaluate the performance of the proposed methodology. As an illustration, the model is used to establish the relationship between unemployment and illiteracy in Senegal.
