IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/994.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/247286/1/GLO-DP-0994.pdf
    Download Restriction: no
    ---><---

    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, December.
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mengyuan Zhou, 2022. "Does the Source of Inheritance Matter in Bequest Attitudes? Evidence from Japan," Journal of Family and Economic Issues, Springer, vol. 43(4), pages 867-887, December.
    2. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    3. Giuliani, Elisa & Martinelli, Arianna & Rabellotti, Roberta, 2016. "Is Co-Invention Expediting Technological Catch Up? A Study of Collaboration between Emerging Country Firms and EU Inventors," World Development, Elsevier, vol. 77(C), pages 192-205.
    4. Ilona Babenko & Benjamin Bennett & John M Bizjak & Jeffrey L Coles & Jason J Sandvik, 2023. "Clawback Provisions and Firm Risk," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 12(2), pages 191-239.
    5. Şahan, Duygu & Tuna, Okan, 2018. "Environmental innovation of transportation sector in OECD countries," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), The Road to a Digitalized Supply Chain Management: Smart and Digital Solutions for Supply Chain Management. Proceedings of the Hamburg International C, volume 25, pages 157-170, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    6. Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
    7. Luiz Paulo Fávero & Joseph F. Hair & Rafael de Freitas Souza & Matheus Albergaria & Talles V. Brugni, 2021. "Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships," Mathematics, MDPI, vol. 9(10), pages 1-28, May.
    8. Shaikh M. S. U. Eskander & Sam Fankhauser, 2022. "Income Diversification and Income Inequality: Household Responses to the 2013 Floods in Pakistan," Sustainability, MDPI, vol. 14(1), pages 1-12, January.
    9. Iván Fernández-Val & Martin Weidner, 2018. "Fixed Effects Estimation of Large-TPanel Data Models," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 109-138, August.
    10. Peter Harasztosi & Attila Lindner, 2019. "Who Pays for the Minimum Wage?," American Economic Review, American Economic Association, vol. 109(8), pages 2693-2727, August.
    11. Cho, Seong-Hoon & Kim, Heeho & Roberts, Roland K. & Kim, Taeyoung & Lee, Daegoon, 2014. "Effects of changes in forestland ownership on deforestation and urbanization and the resulting effects on greenhouse gas emissions," Journal of Forest Economics, Elsevier, vol. 20(1), pages 93-109.
    12. Kazuki Onji & John P. Tang, 2015. "A nation without a corporate income tax: Evidence from nineteenth century Japan," Discussion Papers in Economics and Business 15-12, Osaka University, Graduate School of Economics.
    13. Brown, Sarah & Greene, William H. & Harris, Mark N. & Taylor, Karl, 2015. "An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations," Economic Modelling, Elsevier, vol. 50(C), pages 228-236.
    14. Roberto Martino & Phu Nguyen-Van, 2014. "Labour market regulation and fiscal parameters: A structural model for European regions," Working Papers of BETA 2014-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    15. Etienne Redor & Magnus Blomkvist, 2021. "Do all inside and affiliated directors hold the same value for shareholders?," Economics Bulletin, AccessEcon, vol. 41(3), pages 882-895.
    16. Upasak Das & Rupayan Pal & Udayan Rathore & Bibhas Saha, 2023. "Rein in pandemic by pricing vaccine: Does social trust matter?," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2023-008, Indira Gandhi Institute of Development Research, Mumbai, India.
    17. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    18. Boeker, Warren & Howard, Michael D. & Basu, Sandip & Sahaym, Arvin, 2021. "Interpersonal relationships, digital technologies, and innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 125(C), pages 495-507.
    19. Dreher, Axel & Fuchs, Andreas & Langlotz, Sarah, 2019. "The effects of foreign aid on refugee flows," European Economic Review, Elsevier, vol. 112(C), pages 127-147.
    20. Todd Pugatch, 2014. "Safety valve or sinkhole? Vocational schooling in South Africa," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-31, December.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:glodps:994. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.