Arbeitspapier

You'll never walk alone: Unemployment, social networks and leisure activities

We analyse how unemployment affects individuals' social networks, leisure activities, and the related satisfaction measures. Using the LISS panel, a representative longitudinal survey of the Dutch population, we estimate the effects by inverse propensity score weighting in a difference-in-differences design in order to deal with unobserved heterogeneity and unbalanced covariate distribution between treated and control units potentially associated with the dynamics of the outcome variables. We find that, after job loss, individuals increase their network size by strengthening their closest contacts within the family, spending more time with neighbors, and making more use of social media. Although they devote their extra leisure time mostly to private activities, our results do not support the hypothesis of social exclusion following unemployment.

Sprache
Englisch

Erschienen in
Series: GLO Discussion Paper ; No. 1346

Klassifikation
Wirtschaft
General Welfare; Well-Being
Labor Economics: General
Unemployment: Models, Duration, Incidence, and Job Search
Thema
Unemployment
job loss
social exclusion
leisure
social satisfaction
doubly robust difference-in-differences

Ereignis
Geistige Schöpfung
(wer)
Filomena, Mattia
Picchio, Matteo
Ereignis
Veröffentlichung
(wer)
Global Labor Organization (GLO)
(wo)
Essen
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:44 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

  • Filomena, Mattia
  • Picchio, Matteo
  • Global Labor Organization (GLO)

Entstanden

  • 2023

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