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Job separation and sick leave in the long-term care sector in England

Author

Listed:
  • Vadean, Florin
  • Saloniki, Eirini

Abstract

Staff turnover in the long-term care (LTC) sector in England is perceived to be relatively high. Most job leavers do not leave the sector, but rather move to other LTC employers. Nevertheless, there are concerns that the high 'churn' has a negative impact on continuity and quality of care, care providers' recruitment and training costs, and the remaining staff workload and motivation. Using a large employer-employee panel dataset, this study aimed to provide quantitative evidence on the drivers of LTC staff retention and sick leave in England, with a focus on job quality. After controlling for observed individual, organisational and local market characteristics as well as unobserved worker and employer heterogeneity, we found that, everything else being equal, wages and employment conditions (i.e. full time contracts and contracts with guaranteed working hours) significantly improve staff retention. The wage effect was significantly underestimated when not controlling for unobserved heterogeneity. Our findings show that improving pay and employment conditions for care staff employed by independent providers would reduce the staff turnover in LTC. We also found that, everything else being equal, the amount of sick leave was strongly associated with employment in publicly owned care establishments, most likely due to the relatively more generous sick leave terms they offer.

Suggested Citation

  • Vadean, Florin & Saloniki, Eirini, 2021. "Job separation and sick leave in the long-term care sector in England," GLO Discussion Paper Series 994, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:994
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    File URL: https://www.econstor.eu/bitstream/10419/247286/1/GLO-DP-0994.pdf
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    References listed on IDEAS

    as
    1. Reagan A. Baughman & Kristin E. Smith, 2012. "Labor Mobility Of The Direct Care Workforce: Implications For The Provision Of Long‐Term Care," Health Economics, John Wiley & Sons, Ltd., vol. 21(12), pages 1402-1415, December.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    3. Vedrana Čikeš & Helga Maškarin Ribarić & Kristina Črnjar, 2018. "The Determinants and Outcomes of Absence Behavior: A Systematic Literature Review," Social Sciences, MDPI, vol. 7(8), pages 1-26, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    job separation; long-term care; job quality; sick leave; England;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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