Interaction Between Self-rated Health and Labour Force Participation: A Panel Data Probit Model with Survival Estimates

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Çinaroğlu S.

Journal of Health Management, vol.1, no.1, pp.1-20, 2021 (ESCI)

  • Publication Type: Article / Article
  • Volume: 1 Issue: 1
  • Publication Date: 2021
  • Doi Number: 10.1177/09720634211050483
  • Journal Name: Journal of Health Management
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, CAB Abstracts, CINAHL
  • Page Numbers: pp.1-20
  • Hacettepe University Affiliated: Yes


This  study aimed  to  reveal  the  relationship  between  health  and  labour in  Turkey  under  the intervention of demographic variables. Four waves of the TurkStat Income and Living Conditions Panel Survey (2008–2011)  were  used.  Demographic,  education,  self-rated  health  and  labour  force  participation indicators  were used to examine different  generalised linear  model (GLM)-like panel  binomial probit model  specifications  using  self-assessed  health  (SAH)  status  and  self-reported  working  status  (SRWS) as dependent variables. Kaplan–Meier (KM) estimates for the probability of survival in SAH and SRWS were examined using the  X2  values of the log-rank and Peto–Peto–Prentice tests for equality of survivor functions by study variables. Study results reveal that the hazard of assessing good health and currently working increases for individuals who are married (p  < 0.001), highly educated (p  < 0.001), do not have any chronic disease (p  < 0.001), do not have any health restrictions (p  < 0.001) and occupy highqualification jobs (p  < 0.001). KM estimates support the panel model results. The present study reveals that demographic, education, self-rated health and labour force participation are the driving forces in the interaction of health and labour dynamics. Reducing income inequality, increasing the minimum wage and improving working conditions, while promoting gender equality, are essentials of better management of health and labour markets.