Bias-Correction for Privacy-Protected Spatial Autoregressive Models with Application to Restaurant Network Analysis
隐私保护空间自回归模型的偏差校正与餐馆网络应用
Spatial autoregressive (SAR) models and their extensions are important tools for studying network effects. However, with an increasing emphasis on data privacy, data providers often implement protection measures that render standard SAR models inapplicable. In this study, we introduce a privacy-protected SAR model that incorporates noise into both the response and covariates to meet privacy requirements. With noise present in both components, the traditional quasi-maximum…