Staff Engagement, Job Complementarity and Labour Supply: Evidence from the English NHS Hospital Workforce

Arbeitspapier

We investigate the relationship among staff engagement, job complementarities and labour supply in the hospital sector, where excessive turnover of the clinical staff (doctors and nurses) can be detrimental for quality of care. We exploit a unique and rich panel dataset constructed by combining employee-level payroll and survey records from the universe of English NHS hospitals. System-GMM estimates remove the endogeneity bias due to reverse causality, revealing nurses' elasticities of retention with respect to engagement of 0.1 and 0.85, and doctors' elasticities of retention with respect to nurses' retention of 0.16 and 0.2, respectively within the hospital and the NHS. Estimates of unconditional quantile regressions confirm these findings, with nurses' engagement-elasticities as large as 1.4 for providers with low retention. Higher engagement is also beneficial to reduce staff absences. Our work is informative on the role played by staff engagement and labour supply complementarities in the workforce planning and management of large organizations.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 15126

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models ; Multiple or Simultaneous Equation Models: Instrumental Variables (IV) Estimation ; Analysis of Health Care Markets ; Time Allocation and Labor Supply ; Safety; Job Satisfaction; Related Public Policy ; Labor Turnover; Vacancies; Layoffs
• Subject: labour supply ; workforce retention ; staff engagement ; job complementarities ; healthcare organization ; endogeneity

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Moscelli, Giuseppe ; Sayli, Melisa ; Mello, Marco
• Event: Veröffentlichung
• (who): Institute of Labor Economics (IZA)
• (where): Bonn
• (when): 2022

Further information

• Handle: http://hdl.handle.net/10419/252250
• Last update: 10.03.2025, 11:42 AM CET