SSOAR Logo
    • Deutsch
    • English
  • Deutsch 
    • Deutsch
    • English
  • Einloggen
SSOAR ▼
  • Home
  • Über SSOAR
  • Leitlinien
  • Veröffentlichen auf SSOAR
  • Kooperieren mit SSOAR
    • Kooperationsmodelle
    • Ablieferungswege und Formate
    • Projekte
  • Kooperationspartner
    • Informationen zu Kooperationspartnern
  • Informationen
    • Möglichkeiten für den Grünen Weg
    • Vergabe von Nutzungslizenzen
    • Informationsmaterial zum Download
  • Betriebskonzept
Browsen und suchen Dokument hinzufügen OAI-PMH-Schnittstelle
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Volltext herunterladen

(externe Quelle)

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://doi.org/10.4054/DemRes.2019.40.47

Export für Ihre Literaturverwaltung

Bibtex-Export
Endnote-Export

Statistiken anzeigen
Weiterempfehlen
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Longitudinal employment trajectories and health in middle life: Insights from linked administrative and survey data

[Zeitschriftenartikel]

Devillanova, Carlo
Raitano, Michele
Struffolino, Emanuela

Abstract

Background: The paper adopts a long-term perspective in analysing the association between health and employment histories, often characterized by substantial mobility over time across multiple statuses and contractual arrangements. The available evidence is largely based on static or short-run dynam... mehr

Background: The paper adopts a long-term perspective in analysing the association between health and employment histories, often characterized by substantial mobility over time across multiple statuses and contractual arrangements. The available evidence is largely based on static or short-run dynamic approaches and only compares across few employment statuses. Objective: We investigate how different longitudinal employment trajectories defined over multiple yearly labour market states are associated with self-reported health in middle life. Methods: We use a unique dataset linking the Italian component of the EU-SILC cross-sectional samples (2004-2012) with individuals' complete working histories from the National Social Security registers. We apply sequence and cluster analysis to reconstruct individual working histories between the ages of 15 and 45 and to identify typical trajectories. We then estimate the association between employment trajectory and self-reported health at age 45. Results: Trajectories characterized by intermittent working episodes and long periods of unemployment or inactivity are associated with worse health at age 45. Long-term exposure to blue-collar jobs (potentially physically demanding, more vulnerable to work accidents, and allowing for low levels of individual control) operates similarly to persisting/intermittent joblessness in terms of health outcomes. Contribution: Unlike 'point-in-time' approaches, our sequence analysis application provides unique insights into the fact that the association between the configuration of complete trajectories as they unfold over time and health in middle life are significant and substantive over and above the time spent in specific labour market arrangements (e.g., unemployment) and type of occupation (e.g., blue collar).... weniger

Thesaurusschlagwörter
Erwerbsverlauf; Gesundheit; Arbeitslosigkeit; Arbeitsverhältnis; Beruf; Beschäftigungssituation; gesundheitliche Folgen; Italien

Klassifikation
Medizinsoziologie
Arbeitsmarktforschung

Freie Schlagwörter
self-reported health; sequence analysis; working histories; EU-SILC, IT-SILC (2004-2012)

Sprache Dokument
Englisch

Publikationsjahr
2019

Seitenangabe
S. 1375-1412

Zeitschriftentitel
Demographic Research, 40 (2019)

Handle
http://hdl.handle.net/10419/200400

ISSN
1435-9871

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 3.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.