Table 1 Variable Descriptions
Variable Name | Variable Description |
|---|---|
Female | Binary variable for sex: 1 = female, 0 = male |
Age | Continuous variable representing biological age in years |
Married, Divorced, Single | Binary dummy variables for civil status: Married: 1 = married, 0 otherwise Divorced: 1 = divorced, separated, widowed, 0 otherwise Single: 1 = single, never married, 0 otherwise (referent variable) |
Education | Binary variable: 1 = apprenticeship & more; 0 = no formal education |
German, French, Italian | Binary dummy variables for primary language spoken: German: 1 = German, 0 otherwise French: 1 = French, 0 otherwise Italian: 1 = Italian, 0 otherwise (referent variable) |
Full-time | Binary variable for type of employment: 1 = full-time (100%); 0 = part-time |
Self-employed | Binary variable for type of employment for current job: 1 = self-employed, 0 = works for employer |
Risk of unemployment | Continuous variable: risk of unemployment scale in next 12 months 0 (no risk at all) – 10 (a real risk) |
Treimans prestige scale | Continuous variable: Treimans prestige scale for main job, 0 (lowest prestige) – 100 (highest prestige) |
Professional, Clerical, Service, Other | Binary design variables for occupation, main current job: Professional: 1 = legislators, senior officials, managers, professionals, 0 otherwise Clerical: 1 = clerks, 0 otherwise Service:1 = service workers, market sales workers, 0 otherwise Other: 1 = skilled agricultural & fishery workers, plant and machine operator assemblers, elementary occupations, armed forces, 0 otherwise (referent category) |
Health status | Binary variable for self-assessed health status: 1 = feeling very well/well right now, 0 = average, not very well/not well at all |