Hurd Michael D, Meijer Erik, Moldoff Michael, Rohwedder Susann
RAND Corporation, Santa Monica, CA, USA.
University of Southern California, Los Angeles, CA, USA.
J Econ Soc Meas. 2019;44(2-3):117-139. doi: 10.3233/jem-190465. Epub 2020 Jan 3.
Survey measures of household wealth often incorporate measurement error. The resulting excess variability in the first difference in wealth makes meaningful statistical inference difficult on changes in household-level wealth. We study the effects of two methods intended to reduce this problem: confronts respondents with large discrepancies between wealth reports from the current wave and from the previous wave. uses adjacent wave information in the imputation procedures for missing data. In the U.S. Health and Retirement Study, the corrections from asset verification substantially reduced wave-to-wave changes in wealth. The cross-wave imputations also reduced variation, but to a lesser extent.
家庭财富的调查测量往往存在测量误差。由此导致的财富一阶差分中的过度变异性使得对家庭层面财富变化进行有意义的统计推断变得困难。我们研究了旨在减少这一问题的两种方法的效果：让受访者面对当前波次和前一波次财富报告之间的巨大差异。在缺失数据的插补程序中使用相邻波次信息。在美国健康与退休研究中，资产核实带来的修正大幅减少了财富的逐波变化。跨波次插补也减少了变异性，但程度较小。
