Giuseppe Moscelli, Melisa Sayli, Marco Mello, Alberto Vesperoni
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引用次数: 0
Abstract
Retention of skilled workers is essential for labour-intensive organizations like hospitals, where an excessive turnover of doctors and nurses can reduce the quality and quantity of services provided to patients. Exploiting a unique and rich panel dataset based on employee-level payroll and staff survey records from the universe of English NHS hospitals, we investigate empirically the role played by two non-pecuniary job factors, staff engagement and the retention of complementary co-workers, in affecting employee retention within the public hospital sector. We estimate dynamic panel data models to deal with reverse causality bias, and validate these estimates through unconditional quantile regressions with hospital-level fixed effects. Our findings show that a one standard deviation increase in nurse engagement is associated with a 16% standard deviation increase in their retention; and also that a 10% increase in nurse retention is associated with a 1.6% increase in doctor retention, with this co-workers' complementarity spillover effect driven by the retention of more experienced nurses. Nurse and doctor engagement is positively associated with managers who have effective communication, involve staff in the decision-making process, and act on staff feedback; in particular, older nurse engagement is responsive to managers caring for staff health and wellbeing.
期刊介绍:
Economica is an international journal devoted to research in all branches of economics. Theoretical and empirical articles are welcome from all parts of the international research community. Economica is a leading economics journal, appearing high in the published citation rankings. In addition to the main papers which make up each issue, there is an extensive review section, covering a wide range of recently published titles at all levels.