Why Do Some Employees Fall into and Fail to Exit a Job-Lock Situation?

Table 2

Results of binary probit regression.

Explanatory variable	Job dissatisfaction for two subsequent years
	0 = not in job lock (i.e., mobile during at least one of the years)
	1 = in job lock (i.e., immobile during both years)
	Coefficient	Std. error	Odds ratio
Sociodemographic features
Age	0.024**	0.003	1.035
Gender	0.139*	0.058	1.261
Health status	−0.419 **	0.106	0.505
Marital status	0.127*	0.057	1.234
Personality attributes:
Min peak-end self-esteem	0.054	0.073	1.076
Procrastination	−0.049	0.084	0.932
Type of occupation (reference category: clerical and secretarial)
Manager and administrators	−0.369**	0.097	0.545
Professional	0.030	0.100	0.946
Associate professional/technical	−0.084	0.105	0.875
Craft	0.448**	0.094	2.093
Personal and protective service	−0.203	0.108	0.718
Sales	−0.064	0.116	0.891
Plant and machine	0.095	0.088	1.171
Other occupations	0.079	0.110	1.167
Employment conditions
Full-time contract	0.360**	0.087	1.794
Employer pension scheme	0.318**	0.076	1.677
Member of the trade unions	−0.035	0.082	0.949
On-the-job training	0.071	0.055	1.128
Promotion opportunities	−0.627**	0.068	0.355
Type of sector (reference category: army and other sectors)
Civil	−0.388**	0.141	0.524
Governmental	−0.580**	0.115	0.382
NHS or higher education	−0.867**	0.142	0.236
National industry	0.099	0.207	1.137
Nonprofit	−0.859**	0.213	0.239
Private	−0.928**	0.085	0.214
Work-related contextual features
Regional unemployment rate	−0.005	0.013	0.995
Intercept	−0.123	0.220
Observations	2949
Pseudo 𝑅^2	0.147

∗Significant at 5% level; **significant at 1% level.