Data for the Ins and Outs of Involuntary Part-time Employment

Daniel Borowczyk-Martins; Etienne Lalé

doi:10.1016/j.dib.2020.106686

Data for the Ins and Outs of Involuntary Part-time Employment

Daniel Borowczyk-Martins, Etienne Lalé^*

^*Corresponding author for this work

Department of Economics

Université du Québec à Montréal

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

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.

Original language	English
Article number	106686
Journal	Data in Brief
Volume	34
Number of pages	4
ISSN	2352-3409
DOIs	https://doi.org/10.1016/j.dib.2020.106686
Publication status	Published - Feb 2021

Bibliographical note

Data article to related research article: D. Borowczyk-Martins, E. Lalé, The ins and outs of involuntary part-time employment, Labour Economics, Vol. 67, 101940, December 2020.

Keywords

Involuntary part-time employment
Unemployment
Labor market flows
Business cycles

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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title = "Data for the Ins and Outs of Involuntary Part-time Employment",

abstract = "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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AB - 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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KW - Business cycles

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