Data for the ins and outs of involuntary part-time employment

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 the...

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Detalles Bibliográficos
Autores principales: Borowczyk-Martins, Daniel, Lalé, Etienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776922/
https://www.ncbi.nlm.nih.gov/pubmed/33426243
http://dx.doi.org/10.1016/j.dib.2020.106686
Descripción
Sumario: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.

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