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

Daniel Borowczyk-Martins, Etienne Lalé*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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 languageEnglish
Article number106686
JournalData in Brief
Volume34
Number of pages4
ISSN2352-3409
DOIs
Publication statusPublished - 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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