Reducing cross-wave variability in survey measures of household wealth.

Q3 Social Sciences

Journal of Economic and Social Measurement Pub Date : 2019-01-01 Epub Date: 2020-01-03 DOI:10.3233/jem-190465

Michael D Hurd, Erik Meijer, Michael Moldoff, Susann Rohwedder

引用次数: 3

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.

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减少家庭财富调查措施的跨波变异性。

家庭财富的调查测量常常包含测量误差。由此导致的第一个财富差异的过度变异性使得对家庭层面财富变化的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:资产核查使受访者面对当前一波和前一波财富报告之间的巨大差异。交叉波输入在输入过程中使用相邻波信息来填补缺失数据。在美国健康和退休研究中，资产核查的修正大大减少了财富的波动变化。交叉波估算也减少了变异，但程度较小。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.