@article {Hurd2020117, title = {Reducing cross-wave variability in survey measures of household wealth}, journal = {Journal of Economic and Social Measurement}, volume = {44}, year = {2020}, note = {cited By 0}, pages = {117-139}, abstract = {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: Asset verification confronts respondents with large discrepancies between wealth reports from the current wave and from the previous wave. Cross-wave imputation 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. {\textcopyright} 2019-IOS Press and the authors. All rights reserved.}, keywords = {household income, Panel data, social structure, survey design, United States}, issn = {07479662}, doi = {10.3233/JEM-190465}, author = {Michael D Hurd and Erik Meijer and Moldoff, Michael and Susann Rohwedder} }