Measurement error in US regional economic data
研究了美国区域经济数据中因公开抑制和未修订导致的测量误差，发现汇总数据会衰减系数估计约31%，面板数据中达50%，而较细粒度数据不可靠，强调了保密数据访问的重要性。
Abstract Estimates of publicly suppressed and unrevised regional economic data produce error and potentially bias statistical inference. This article estimates measurement error in suppressed cell estimated data sets (SCEDs) relative to unsuppressed federal administrative data. In a cross section, coefficient estimates based on relatively aggregated SCEDs are attenuated by about 31%, increasing to 50% in panel data. Coefficient estimates based on less‐aggregated SCEDs are not generally reliable. A review of the limited options for identification emphasizes both the systemic limitations suppression places on research inference and the value of retrospective revisions in confidential data, highlighting the importance of confidential data access and use.