{"title":"Determinants of Wealth Fluctuation: Changes in Hard-To-Measure Economic Variables in a Panel Study.","authors":"Fabian T Pfeffer, Jamie Griffin","doi":"10.12758/mda.2016.015","DOIUrl":null,"url":null,"abstract":"<p><p>Measuring fluctuation in families' economic conditions is the <i>raison d'être</i> of household panel studies. Accordingly, a particularly challenging critique is that <i>extreme</i> fluctuation in measured economic characteristics might indicate compounding measurement error rather than actual changes in families' economic wellbeing. In this article, we address this claim by moving beyond the assumption that particularly large fluctuation in economic conditions might be too large to be realistic. Instead, we examine predictors of large fluctuation, capturing sources related to actual socio-economic changes as well as potential sources of measurement error. Using the Panel Study of Income Dynamics, we study between-wave changes in a dimension of economic wellbeing that is especially hard to measure, namely, net worth as an indicator of total family wealth. Our results demonstrate that even very large between-wave changes in net worth can be attributed to actual socio-economic and demographic processes. We do, however, also identify a potential source of measurement error that contributes to large wealth fluctuation, namely, the treatment of incomplete information, presenting a pervasive challenge for any longitudinal survey that includes questions on economic assets. Our results point to ways for improving wealth variables both in the data collection process (e.g., by measuring active savings) and in data processing (e.g., by improving imputation algorithms).</p>","PeriodicalId":44460,"journal":{"name":"Methods Data Analyses","volume":"11 1","pages":"87-108"},"PeriodicalIF":2.6000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351882/pdf/nihms850834.pdf","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods Data Analyses","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12758/mda.2016.015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 10
Abstract
Measuring fluctuation in families' economic conditions is the raison d'être of household panel studies. Accordingly, a particularly challenging critique is that extreme fluctuation in measured economic characteristics might indicate compounding measurement error rather than actual changes in families' economic wellbeing. In this article, we address this claim by moving beyond the assumption that particularly large fluctuation in economic conditions might be too large to be realistic. Instead, we examine predictors of large fluctuation, capturing sources related to actual socio-economic changes as well as potential sources of measurement error. Using the Panel Study of Income Dynamics, we study between-wave changes in a dimension of economic wellbeing that is especially hard to measure, namely, net worth as an indicator of total family wealth. Our results demonstrate that even very large between-wave changes in net worth can be attributed to actual socio-economic and demographic processes. We do, however, also identify a potential source of measurement error that contributes to large wealth fluctuation, namely, the treatment of incomplete information, presenting a pervasive challenge for any longitudinal survey that includes questions on economic assets. Our results point to ways for improving wealth variables both in the data collection process (e.g., by measuring active savings) and in data processing (e.g., by improving imputation algorithms).
测量家庭经济状况的波动是进行家庭面板研究être的原因。因此,一个特别具有挑战性的批评是,测量经济特征的极端波动可能表明复合测量误差,而不是家庭经济福祉的实际变化。在本文中,我们通过超越经济状况中特别大的波动可能太大而不现实的假设来解决这一说法。相反,我们检查大波动的预测因子,捕捉与实际社会经济变化有关的来源以及测量误差的潜在来源。我们使用收入动态面板研究(Panel Study of Income Dynamics),研究了经济福利一个维度的波动间变化,这个维度尤其难以衡量,即净资产作为家庭总财富的一个指标。我们的研究结果表明,即使是非常大的净值波动之间的变化也可以归因于实际的社会经济和人口过程。然而,我们也确实确定了导致财富大幅波动的测量误差的一个潜在来源,即对不完整信息的处理,这对包括经济资产问题在内的任何纵向调查都是一个普遍的挑战。我们的研究结果指出了在数据收集过程(例如,通过测量主动储蓄)和数据处理(例如,通过改进imputation算法)中改善财富变量的方法。