Should I stay or should I go? The impact of working time and wages on retention in the health workforce

Table 1 Descriptive statistics for the complete sample

Variable	Mean	SD	Minimum	Maximum
Expect to be with the same employer	0.591	0.492	0	1
Full-time	0.523	0.499	0	1
Non-standard hours	0.662	0.473	0	1
Overtime	0.388	0.487	0	1
Commuting time	0.042	0.200	0	1
Gross hourly wage (log)	2.808	0.468	1.1	5.9
Wage dissatisfaction	0.400	0.490	0	1
Neither satisfied by wage nor dissatisfied	0.307	0.461	0	0
Wage satisfaction	0.293	0.455	0	1
Covered by collective agreement	0.714	0.452	0	1
Job dissatisfaction	0.152	0.359	0	1
Neither satisfied by job nor dissatisfied	0.225	0.418	0	1
Job satisfaction	0.623	0.485	0	1
Women	0.798	0.402	0	1
Age	38.582	10.723	18	59
Low education	0.220	0.415	0	1
Medium education	0.502	0.500	0	1
High education	0.278	0.448	0	1
Having a partner	0.655	0.476	0	1
Having one or more children	0.584	0.493	0	1
Native	0.938	0.242	0	1
Medical doctor	0.040	0.196	0	1
Nurse	0.310	0.463	0	1
Pharmaceutical occupation	0.034	0.181	0	1
Other health occupation	0.616	0.487	0	1
Permanent contract	0.821	0.383	0	1
Promotion in current job	0.802	0.398	0	1
Supervisor position	0.196	0.397	0	1
Apprentice	0.017	0.130	0	1
Organization size	0.510	2.702	0	1
Public employment	0.200	0.400	0	1
Unemployment growth in country	−0.284	0.662	−1.2	1.1

Source: WageIndicator data for Belgium, Germany and the Netherlands, 2006–2012 (unweighted), N = 5,323.

ISSN: 1478-4491