Artikel

Job loss by wage level: Lessons from the Great Recession in Ireland

This paper explores the incidence of job loss by wage level during the Great Recession, using data for Ireland. Ireland experienced a particularly pronounced decline in employment by international and historical standards, which makes it a valuable case study. Using EU Survey on Income and Living Conditions (EU-SILC) data, our analysis reveals that the probability that an employee remains in employment, from one year to the next, is positively related to their monthly earnings during both boom and bust. The gradient with wages, however, is much more marked during the bust and remains significantly so even after controlling for a range of individual characteristics including gender, age, education, labour market history, part-time status, industries or occupations.

Sprache
Englisch

Erschienen in
Journal: IZA Journal of European Labor Studies ; ISSN: 2193-9012 ; Volume: 5 ; Year: 2016 ; Issue: 7 ; Pages: 1-25 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Labor Demand
Human Capital; Skills; Occupational Choice; Labor Productivity
Job, Occupational, and Intergenerational Mobility; Promotion
Labor Turnover; Vacancies; Layoffs
Thema
Skills
Occupations
Wages
Great recession
Ireland
Job loss
EU-SILC
Kündigung
Lohnniveau
Qualifikation
Arbeitslosigkeit
Weltwirtschaftskrise
Irland

Ereignis
Geistige Schöpfung
(wer)
Nolan, Brian
Voitchovsky, Sarah
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2016

DOI
doi:10.1186/s40174-016-0057-2
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

  • Artikel

Beteiligte

  • Nolan, Brian
  • Voitchovsky, Sarah
  • Springer

Entstanden

  • 2016

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