Title | Reducing cross-wave variability in survey measures of household wealth |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Hurd, MD, Meijer, E, Moldoff, M, Rohwedder, S |
Journal | Journal of Economic and Social Measurement |
Volume | 44 |
Pagination | 117-139 |
ISSN Number | 07479662 |
Keywords | household income, Panel data, social structure, survey design, United States |
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. © 2019-IOS Press and the authors. All rights reserved. |
Notes | cited By 0 |
DOI | 10.3233/JEM-190465 |
Citation Key | Hurd2020117 |