Arbeitspapier

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

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.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 15126

Klassifikation
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
Thema
labour supply
workforce retention
staff engagement
job complementarities
healthcare organization
endogeneity

Ereignis
Geistige Schöpfung
(wer)
Moscelli, Giuseppe
Sayli, Melisa
Mello, Marco
Ereignis
Veröffentlichung
(wer)
Institute of Labor Economics (IZA)
(wo)
Bonn
(wann)
2022

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

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

Entstanden

  • 2022

Ähnliche Objekte (12)