非自愿兼职工作的进出数据。
Data for the ins and outs of involuntary part-time employment.
作者信息
Borowczyk-Martins Daniel, Lalé Etienne
机构信息
Department of Economics, Copenhagen Business School, Porcelaenshaven 16A, 2000 Frederiksberg, Denmark.
Department of Economics, Université du Québec à Montréal, C.P. 8888, Succ. centre ville, Montréal (QC) H3C 3P8, Canada.
出版信息
Data Brief. 2020 Dec 26;34:106686. doi: 10.1016/j.dib.2020.106686. eCollection 2021 Feb.
Data are US monthly time series of involuntary part-time employment stocks and flows from 1976 until 2019 (covering five economic downturns), derived from the US Current Population Survey (CPS). Stocks and flows are cleared from discrepancies over time caused by the 1994 redesign of the CPS, and they are adjusted to control for margin error problems and time aggregation biases. Data are available in two different formats: unadjusted and adjusted for misclassification errors - another important sources of biases in worker flows data. The time series obtained through these adjustments allow for a comprehensive account of the cyclical dynamics of involuntary part-time employment.
数据是1976年至2019年美国非自愿兼职就业存量和流量的月度时间序列（涵盖五次经济衰退），源自美国当前人口调查（CPS）。存量和流量已消除因1994年CPS重新设计导致的长期差异，并进行了调整以控制边际误差问题和时间汇总偏差。数据有两种不同格式：未调整的和针对错误分类误差调整的——这是工人流动数据偏差的另一个重要来源。通过这些调整获得的时间序列能够全面说明非自愿兼职就业的周期性动态。
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