Journal of Environmental and Public Health / 2013 / Article / Tab 2

Research Article

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)
CoefficientStd. errorOdds ratio

Sociodemographic features
 Age0.024**0.0031.035
 Gender 0.139*0.0581.261
 Health status ** 0.1060.505
 Marital status0.127*0.0571.234
Personality attributes:
 Min peak-end self-esteem0.0540.0731.076
 Procrastination−0.0490.0840.932
Type of occupation (reference category: clerical and secretarial)
 Manager and administrators−0.369**0.0970.545
 Professional0.0300.1000.946
 Associate professional/technical−0.0840.1050.875
 Craft0.448**0.0942.093
 Personal and protective service−0.2030.1080.718
 Sales−0.0640.1160.891
 Plant and machine0.0950.0881.171
 Other occupations0.0790.1101.167
Employment conditions
 Full-time contract0.360**0.0871.794
 Employer pension scheme0.318**0.0761.677
 Member of the trade unions−0.0350.0820.949
 On-the-job training0.0710.0551.128
 Promotion opportunities−0.627**0.0680.355
Type of sector (reference category: army and other sectors)
 Civil−0.388**0.1410.524
 Governmental−0.580**0.1150.382
 NHS or higher education−0.867**0.1420.236
 National industry0.0990.2071.137
 Nonprofit −0.859**0.2130.239
 Private −0.928**0.0850.214
Work-related contextual features
 Regional unemployment rate 0.0130.995
Intercept 0.220
Observations2949
Pseudo 0.147

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

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