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A comparison of sample survey measures of earnings of English graduates with administrative data

机译:英语毕业生的收入调查样本与管理数据的比较

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Administrative data sets are increasingly used in research because of their excellent coverage and large scale. However, in the UK the use of administrative data on individuals' earnings, and particularly graduates' earnings, is novel. Understanding the strengths and weaknesses of such data is important as they are set to be used extensively for research and to inform policy. Here we compare survey-based labour earnings data from the UK's Labour Force Survey (LFS) with UK Government administrative sources of individual level earnings data, focusing separately on young (up to age 32 years) graduates and non-graduates. This type of administrative data set has few sample selection issues and is longitudinal and its large samples mean that the earnings of subpopulations can potentially be studied with low error. Overall we find a similar share of individuals with zero earnings in the LFS and administrative data, but a considerably higher share (conditionally on working) earning below 8000 pound in the administrative data. The LFS has generally higher earnings right through the distribution, though above the median a large share of the differences can potentially be explained by employee pension contributions. We also find considerably larger gender difference in the survey data. The findings hold for both graduates and non-graduates. These differences are substantively important and suggest different conclusions about the gender wage gap, the graduate earnings premium and the extent of earnings inequality.
机译:由于行政数据集覆盖面广,规模大,因此越来越多地用于研究。但是,在英国,使用有关个人收入(尤其是毕业生收入)的管理数据是很新颖的。了解此类数据的优缺点非常重要,因为它们将被广泛用于研究和为政策提供信息。在这里,我们将来自英国劳动力调查(LFS)的基于调查的劳动收入数据与个人收入数据的英国政府行政来源进行了比较,分别侧重于年轻人(不超过32岁)的毕业生和非毕业生。这种类型的行政数据集几乎没有样本选择问题,而且是纵向的,其大量样本意味着可以潜在地以低误差研究亚人群的收入。总体而言,在LFS和行政数据中,我们发现收入为零的个人所占比例相似,但在行政数据中,收入低于8000磅的人所占份额(有条件地工作)要高得多。 LFS通常通过分配获得较高的收入,尽管在中位数以上的很大一部分差异可能可以由员工养老金缴款来解释。我们还发现调查数据中的性别差异更大。调查结果对毕业生和非毕业生均适用。这些差异具有重要意义,并就性别工资差距,毕业生收入溢价和收入不平等程度提出了不同的结论。

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