消费者财务状况调查中富裕家庭抽样的最新情况

Jesse Bricker, Alice Henriques Volz, Kevin B. Moore
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引用次数: 21

摘要

参与家庭调查的人数随着时间的推移而下降,这使得及时进行家庭调查(如消费者财务调查)变得更加困难。为了应对这些挑战,2016年SCF富裕样本的采样框架数据的参考年份被向后移了一年,从而可以比过去更早地选择样本。然而,在实现这个变化的过程中,我们冒着识别一组过时的家庭和在抽样过程中引入可变性的风险。然而,我们表明,在新框架中选择的一组家庭在观察上与那些从过去框架中选择的家庭相同,并且通过使用比过去更全面的数据来补偿财富估计增加的可变性。SCF采样过程的其他方面也被重新审视。我们继续发现在抽样过程中使用永久收入而不是年收入的支持。我们还估计了富裕家庭的地理分布,并表明目前的分布与过去相似。不过,我们建议在样本中增加一个地理区域,并在样本家庭数量的基础上再增加100个。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Updates to the Sampling of Wealthy Families in the Survey of Consumer Finances
Participation in household surveys has fallen over time, making it harder to produce a household survey-like the Survey of Consumer Finances (SCF)-in a timely manner. To address these challenges, the reference year of the sampling frame data for the 2016 SCF wealthy oversample was shifted back one year, allowing the oversample to be selected earlier than the past. In implementing this change, though, we risk identifying an outdated set of families and introducing variability in the sampling process. However, we show that the set of families selected in the new frame are observationally equivalent to those that would have been selected from a past frame, and that the increased variability of wealth estimates is compensated-for with the use of more comprehensive data than in the past. Other aspects of the SCF sampling process are revisited, too. We continue to find support for using permanent income in the sampling process, rather than annual income. We also estimate the geographic distribution of wealthy families and show that the current distribution is similar to the past. We propose adding one geographic area to the oversample, though, and supplementing by 100 the set of sampled families.
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