论文标题
基于设计的空间相关方法
A Design-Based Approach to Spatial Correlation
论文作者
论文摘要
观察空间数据时，我们应该报告哪些标准错误？通过有限的人口框架，我们确定了三个空间相关渠道：采样方案，分配设计和模型规范。在三个通道的不同组合下，比较了eicker-huber-white标准误差，群集射击标准误差以及空间异质关系和自相关一致的标准误差。然后，我们提供了是否应调整线性和非线性估计器的空间相关性的标准误差指南。事实证明，这个问题的答案还取决于采样概率的大小。
When observing spatial data, what standard errors should we report? With the finite population framework, we identify three channels of spatial correlation: sampling scheme, assignment design, and model specification. The Eicker-Huber-White standard error, the cluster-robust standard error, and the spatial heteroskedasticity and autocorrelation consistent standard error are compared under different combinations of the three channels. Then, we provide guidelines for whether standard errors should be adjusted for spatial correlation for both linear and nonlinear estimators. As it turns out, the answer to this question also depends on the magnitude of the sampling probability.
