Controlling for Seam Problems in Duration Model Estimates: With Application to the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey
针对调查数据中持续时间记录在调查波次之间不一致的问题，提出一种统计方法，通过定义一致性标准量化误差并生成概率，从而在持续时间模型中控制接缝问题，并应用于当前人口调查和CATI/CAPI重叠调查。
Inconsistencies in duration data at the seams between surveys make the problem of determining where one spell ends and the next begins impossible to resolve with certainty. In this paper I develop a statistical approach to partitioning data records with inconsistent duration data. The basis of this paper is a set of definitions as to what establishes consistent reporting at each seam. These definitions are derived from the questionnaire, and they enable me to quantify duration data inconsistencies as errors. The errors are then employed to generate probabilities over data record partitions. A duration model that uses these probabilities to control for seam problems is estimated for both the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey.