Arbeitspapier

Structural break in the Norwegian LFS due to the 2021 redesign

The labour force surveys (LFSs) on all Eurostat countries underwent a substantial redesign in January 2021. To ensure coherent labour market time series for the main indicators in the Norwegian LFS, we model the impact of the redesign. We use a state-space model that takes explicit account of the rotating pattern of the LFS. We also include auxiliary variables related to employment and unemployment that are highly correlated with the LFS variables we consider. The results of a parallel run are also included in the model. This paper makes two contributions to the literature on the effects of LFS redesign. First, we suggest a symmetric specification of the process of the wave-specific effects. Second, we account for substantial fluctuations in the labour force estimates during the Covid-19 pandemic by applying time-varying hyperparameters. Likelihood-ratio tests and examination of the auxiliary residuals show the latter to be warranted.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 987

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Construction and Estimation
Survey Methods; Sampling Methods
Labor Force and Employment, Size, and Structure
Thema
State-space models
Auxiliary information
Labour market domains
Level shifts
Covid19
Norway

Ereignis
Geistige Schöpfung
(wer)
Hungnes, Håvard
Skjerpen, Terje
Hamre, Jørn Ivar
Jansen, Xiaoming Chen
Dinh Quang Pham
Sandvik, Ole
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2022

Handle
Letzte Aktualisierung
10.03.2025, 11:41 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

  • Hungnes, Håvard
  • Skjerpen, Terje
  • Hamre, Jørn Ivar
  • Jansen, Xiaoming Chen
  • Dinh Quang Pham
  • Sandvik, Ole
  • Statistics Norway, Research Department

Entstanden

  • 2022

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