使用关联管理和调查数据的收益波动趋势

IF 2.9 2区 数学 Q1 ECONOMICS Journal of Business & Economic Statistics Pub Date : 2022-07-15 DOI:10.1080/07350015.2022.2102023
James P. Ziliak, Charles M. Hokayem, C. Bollinger
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引用次数: 9

摘要

我们使用来自CPS ASEC和社会保障收入记录的1995-2015纳税年度的独特关联调查数据,按性别分别记录了收入波动的趋势。准确的数据链接使我们能够专注于从盈余无反应、调查减员以及调查和行政盈余数据报告之间的测量中测量的波动性差异,同时保持抽样框架不变。我们对男性和女性的研究结果表明,在调查和管理数据中,波动性的水平和趋势是相似的,在男性中显示出实质性的商业周期敏感性,但在连续工作者中没有总体趋势,而女性在商业周期中表现出收入波动性没有变化,而是呈下降趋势。在非受访者中纳入估算收入后,出现了实质性差异,这表明ASEC的用户减少了非受访者的收入。
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Trends in Earnings Volatility Using Linked Administrative and Survey Data
Abstract We document trends in earnings volatility separately by gender using unique linked survey data from the CPS ASEC and Social Security earnings records for the tax years spanning 1995–2015. The exact data link permits us to focus on differences in measured volatility from earnings nonresponse, survey attrition, and measurement between survey and administrative earnings data reports, while holding constant the sampling frame. Our results for both men and women suggest that the level and trend in volatility is similar in the survey and administrative data, showing substantial business-cycle sensitivity among men but no overall trend among continuous workers, while women demonstrate no change in earnings volatility over the business cycle but a declining trend. A substantive difference emerges with the inclusion of imputed earnings among survey nonrespondents, suggesting that users of the ASEC drop earnings nonrespondents.
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来源期刊
Journal of Business & Economic Statistics
Journal of Business & Economic Statistics 数学-统计学与概率论
CiteScore
5.00
自引率
6.70%
发文量
98
审稿时长
>12 weeks
期刊介绍: The Journal of Business and Economic Statistics (JBES) publishes a range of articles, primarily applied statistical analyses of microeconomic, macroeconomic, forecasting, business, and finance related topics. More general papers in statistics, econometrics, computation, simulation, or graphics are also appropriate if they are immediately applicable to the journal''s general topics of interest. Articles published in JBES contain significant results, high-quality methodological content, excellent exposition, and usually include a substantive empirical application.
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