Arbeitspapier

Assessing Labor Market Conditions in Canada with Public-Use Microdata

We extend Nakamura et al. (2019, 2020)'s approach of using the publicly available microdata files of the Labour Force Survey (LFS) to construct worker transition rates across employment, unemployment, and inactivity. Our approach involves estimating and applying a scaling factor that has been proposed in earlier research as a way of capturing the relative intensity of job search from inactivity compared to unemployment. This factor provides enough structure to prevent arbitrary splitting of unemployment outflows between employment and inactivity. In turn, the estimated job search factor can be used in a few simple step-by-step instructions applied to the LFS public files to assess near real-time labor market conditions in Canada. An analysis of the recent dynamics of worker flows illustrating the practicality of our approach highlights that transition rates: (a) from employment to unemployment have fallen over time (b) from unemployment to employment were unusually high during the pandemic and (c) have regional differences.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 16722

Klassifikation
Wirtschaft
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Labor Force and Employment, Size, and Structure
Labor Turnover; Vacancies; Layoffs
Thema
employment
unemployment
labor force participation
gross worker flows

Ereignis
Geistige Schöpfung
(wer)
Lalé, Etienne
Ereignis
Veröffentlichung
(wer)
Institute of Labor Economics (IZA)
(wo)
Bonn
(wann)
2024

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Lalé, Etienne
  • Institute of Labor Economics (IZA)

Entstanden

  • 2024

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