Arbeitspapier

Staff Engagement, Coworkers' Complementarity and Employee Retention: Evidence from English NHS Hospitals

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.

Language
Englisch

Bibliographic citation
Series: IZA Discussion Papers ; No. 15638

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
employee retention
staff engagement
job complementarities
coworkers
hospitals
endogeneity

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

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Moscelli, Giuseppe
  • Sayli, Melisa
  • Mello, Marco
  • Institute of Labor Economics (IZA)

Time of origin

  • 2022

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