IDEAS home Printed from https://ideas.repec.org/p/yor/hectdg/22-25.html
   My bibliography  Save this paper

Staff engagement, coworkers’ complementarity and employee retention: Evidence from English NHS hospitals

Author

Listed:
  • Moscelli, G.;
  • Sayli, M.;
  • Mello, M.;

Abstract

Retention of skilled workers is essential for labour-intensive organisations like hospitals, where an excessive turnover of doctors and nurses can reduce the quality and quantity of services to patients. In the public sector, where salaries are often not negotiable at individual level, workers increasingly care about the non-pecuniary aspects of their jobs. We empirically investigate the role played by two such aspects, staff engagement and the retention of complementary coworkers, in affecting employee retention within the public hospital sector. We exploit a unique and rich panel dataset based on employee-level payroll and staff survey records from the universe of English NHS hospitals, and estimate dynamic panel data models to deal with the bias due to reverse causality. We find that nurses’ retention is positively associated with their engagement, whereas doctors’ retention is positively associated with nurses’ retention. This heterogeneous response of employee retention can be explained by the hierarchy of workers’ professional roles within the organisation.

Suggested Citation

  • Moscelli, G.; & Sayli, M.; & Mello, M.;, 2022. "Staff engagement, coworkers’ complementarity and employee retention: Evidence from English NHS hospitals," Health, Econometrics and Data Group (HEDG) Working Papers 22/25, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:22/25
    as

    Download full text from publisher

    File URL: https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/2022/2225.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
    2. Kyle Herkenhoff & Jeremy Lise & Guido Menzio & Gordon M. Phillips, 2018. "Production and Learning in Teams," NBER Working Papers 25179, National Bureau of Economic Research, Inc.
    3. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    4. AndrewE. Clark & Nicolai Kristensen & Niels Westergård-Nielsen, 2009. "Job Satisfaction and Co-worker Wages: Status or Signal?," Economic Journal, Royal Economic Society, vol. 119(536), pages 430-447, March.
    5. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    6. Nicholas Bloom & Carol Propper & Stephan Seiler & John Van Reenen, 2015. "The Impact of Competition on Management Quality: Evidence from Public Hospitals," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 457-489.
    7. Carol Propper & John Van Reenen, 2010. "Can Pay Regulation Kill? Panel Data Evidence on the Effect of Labor Markets on Hospital Performance," Journal of Political Economy, University of Chicago Press, vol. 118(2), pages 222-273, April.
    8. Nicholas Bloom & Renata Lemos & Raffaella Sadun & John Van Reenen, 2020. "Healthy Business? Managerial Education and Management in Health Care," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 506-517, July.
    9. Mitchell Hoffman & Steven Tadelis, 2021. "People Management Skills, Employee Attrition, and Manager Rewards: An Empirical Analysis," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 243-285.
    10. Sebastian Kripfganz, 2019. "Generalized method of moments estimation of linear dynamic panel-data models," London Stata Conference 2019 17, Stata Users Group.
    11. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    12. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    13. Shields, Michael A. & Ward, Melanie, 2001. "Improving nurse retention in the National Health Service in England: the impact of job satisfaction on intentions to quit," Journal of Health Economics, Elsevier, vol. 20(5), pages 677-701, September.
    14. Propper, Carol & Janke, Katharina & Sadun, Raffaella, 2019. "The Impact of CEOs in the Public Sector: Evidence from the English NHS," CEPR Discussion Papers 13726, C.E.P.R. Discussion Papers.
    15. Rowena Crawford & Richard Disney & Carl Emmerson, 2015. "The short run elasticity of National Health Service nurses’ labour supply in Great Britain," IFS Working Papers W15/04, Institute for Fiscal Studies.
    16. Kazuhiko Hayakawa, 2009. "First Difference or Forward Orthogonal Deviation- Which Transformation Should be Used in Dynamic Panel Data Models?: A Simulation Study," Economics Bulletin, AccessEcon, vol. 29(3), pages 2008-2017.
    17. Clark, Andrew E., 2001. "What really matters in a job? Hedonic measurement using quit data," Labour Economics, Elsevier, vol. 8(2), pages 223-242, May.
    18. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Costi, Chiara & Clark, Andrew E. & Lepinteur, Anthony & D'Ambrosio, Conchita, 2023. "Healthcare Workers and Life Satisfaction during the Pandemic," IZA Discussion Papers 16680, Institute of Labor Economics (IZA).

    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. Moscelli, Giuseppe & Sayli, Melisa & Mello, Marco, 2022. "Staff Engagement, Coworkers' Complementarity and Employee Retention: Evidence from English NHS Hospitals," IZA Discussion Papers 15638, Institute of Labor Economics (IZA).
    2. Moscelli, Giuseppe & Sayli, Melisa & Mello, Marco, 2022. "Staff Engagement, Job Complementarity and Labour Supply: Evidence from the English NHS Hospital Workforce," IZA Discussion Papers 15126, Institute of Labor Economics (IZA).
    3. Bertacchini, Enrico & Dalle Nogare, Chiara, 2014. "Public provision vs. outsourcing of cultural services: Evidence from Italian cities," European Journal of Political Economy, Elsevier, vol. 35(C), pages 168-182.
    4. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2018. "Health and Economic Growth: Reconciling the Micro and Macro Evidence," IZA Discussion Papers 11940, Institute of Labor Economics (IZA).
    5. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    6. Araujo, Jair Andrade & Marinho, Emerson & Campêlo, Guaracyane Lima, 2017. "Economic growth and income concentration and their effects on poverty in Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    7. Lorenzo Pozzi & Griet Malengier, 2007. "Certainty Equivalence and the Excess Sensitivity of Private Consumption," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1839-1848, October.
    8. Hak Yeung & Jürgen Huber, 2022. "Further Evidence on China’s B&R Impact on Host Countries’ Quality of Institutions," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    9. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    10. Brey, Björn & Hertweck, Matthias S., 2020. "The Extension Of Short-Time Work Schemes During The Great Recession: A Story Of Success?," Macroeconomic Dynamics, Cambridge University Press, vol. 24(2), pages 360-402, March.
    11. Ibrahim, Mansor H. & Salim, Kinan & Abojeib, Moutaz & Yeap, Lau Wee, 2019. "Structural changes, competition and bank stability in Malaysia’s dual banking system," Economic Systems, Elsevier, vol. 43(1), pages 111-129.
    12. Zulkefly Abdul Karim & Mohd Azlan Shah Zaidi, 2015. "Monetary Policy, Firm Size and Equity Returns in An Emerging Market: Panel Evidence of Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 11(2), pages 29-55.
    13. Mansor H. Ibrahim, 2018. "Trade–finance complementarity and carbon emission intensity: panel evidence from middle-income countries," Environment Systems and Decisions, Springer, vol. 38(4), pages 489-500, December.
    14. Marques Pereira, João André C. & Saito, Richard, 2015. "How banks respond to Central Bank supervision: Evidence from Brazil," Journal of Financial Stability, Elsevier, vol. 19(C), pages 22-30.
    15. Ludwig Reinhard & Steven Li, 2010. "A note on capital structure target adjustment – Indonesian evidence," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 6(3), pages 245-259, June.
    16. Castro, Vítor, 2013. "Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI," Economic Modelling, Elsevier, vol. 31(C), pages 672-683.
    17. Moscelli, G.; & Sayli, M.; & Blanden, J.; & Mello, M.; & Castro-Pires, H.; & Bojke, C.;, 2023. "Non-monetary interventions, workforce retention and hospital quality: evidence from the English NHS," Health, Econometrics and Data Group (HEDG) Working Papers 23/13, HEDG, c/o Department of Economics, University of York.
    18. Gupta, C.P. & Bedi, Prateek, 2020. "Corporate cash holdings and promoter ownership," Emerging Markets Review, Elsevier, vol. 44(C).
    19. Kufenko, Vadmin & Prettner, Klaus, 2017. "You can't always get what you want? A Monte Carlo analysis of the bias and the efficiency of dynamic panel data estimators," ECON WPS - Working Papers in Economic Theory and Policy 07/2017, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    20. Aisen, Ari & Veiga, Francisco José, 2013. "How does political instability affect economic growth?," European Journal of Political Economy, Elsevier, vol. 29(C), pages 151-167.

    More about this item

    Keywords

    employee retention; staff engagement; job complementarities; coworkers; hospitals; endogeneity;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

    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:yor:hectdg:22/25. 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: Jane Rawlings (email available below). General contact details of provider: https://edirc.repec.org/data/deyoruk.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.