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Table 2 Log-odds on the probability of having the same job next year (intention to stay)

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

 

(M1)

(M2)

(M3)

Full-time (yes =1)

0.334*** (0.069)

 

0.341*** (0.069)

Non-standard hours (yes =1)

0.063 (0.072)

 

0.074 (0.072)

Overtime (yes =1)

−0.190** (0.065)

 

−0.156* (0.065)

Commuting time (one way above 1 h =1)

−0.553*** (0.155)

 

−0.571*** (0.156)

Gross hourly wage (log)

 

0.158* (0.076)

0.169* (0.076)

Wage dissatisfaction (Reference: neither satisfied nor dissatisfied)

 

−0.248*** (0.075)

−0.247** (0.076)

Wage satisfaction

 

0.210*(0.083)

0.200* (0.083)

Covered by collective agreement (yes =1)

 

−0.124 (0.077)

−0.096 (0.078)

Constant

−0.876 (0.522)

−1.055* (0.509)

−1.295* (0.537)

Bayesian Information Criterion

−39294.3

−39289.0

−39298.8

Log likelihood

−3080.8

−3083.4

−3061.3

  1. Standard errors in brackets, *P < 0.05, **P < 0.01, ***P < 0.00; in all models, we control for sociodemographic and work-related characteristics as well as for the absolute unemployment rate (see Additional file 3). Source: WageIndicator data for Belgium, Germany and the Netherlands, 2006–2012 (unweighted), N = 5,323.