AI RESEARCH

Proxy-Guided Measurement Calibration

arXiv CS.LG

ArXi:2603.09288v1 Announce Type: new Aggregate outcome variables collected through surveys and administrative records are often subject to systematic measurement error. For instance, in disaster loss databases, county-level losses reported may differ from the true damages due to variations in on-the-ground data collection capacity, reporting practices, and event characteristics. Such miscalibration complicates downstream analysis and decision-making.