Non-Classical Measurement Error in Long-Term Retrospective Recall Surveys*
利用收入动态面板研究验证数据，评估长期回顾性回忆数据的准确性，发现暂时性变动的漏报会导致非经典测量误差问题，对使用此类数据的研究者有警示作用。
Applied microeconomic researchers are beginning to use long-term retrospective survey data in settings where conventional longitudinal survey data are unavailable. However, inaccurate long-term recall could induce non-classical measurement error, for which conventional statistical corrections are less effective. In this article, we use the unique Panel Study of Income Dynamics Validation Study to assess the accuracy of long-term retrospective recall data. We find underreporting of transitory variation which creates a non-classical measurement error problem.