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

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  • 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
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    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. Katharina Janke & Carol Propper & Raffaella Sadun, 2019. "The Role of Top Managers in the Public Sector: Evidence from the English NHS," NBER Working Papers 25853, National Bureau of Economic Research, Inc.
    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. 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.
    19. 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.
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    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

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