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Correlational findings

Study Haindorfer (2019): study ZZ Eastern Europe 2012

Public
21-65 aged, commuters from Slowakia, Tsjechia and Hungary, 2012-2013
Survey name
AT TRANSLAB survey 2012-2013
Sample
Respondents
N = 2687
Non Response
Assessment
Interview: face-to-face

Correlate

Authors's Label
Frequency contact w. other commuters/friends
Our Classification
Error Estimates
Daily: SE=.1455; Several/week: SE=.1370;Once a month: SE.1486;Less than once a month:SE=.1418;Never:SE=.1643
Remarks
Question not reported
Operationalization
Frequency contact w. other commuters/friends:
5 Daily
4 Several times/week
3 Several times/month (reference)
4 Once a month
5 Less than once a month
6 Never

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-10-af b =                                    b
5 Daily                           +.25(.10)
4 Several times/week              +.08(ns)
3 Several times/month(ref.)
4 Once a month                    +.07(ns)
5 Less than once a month          -.03(ns)
6 Never                           +.06(ns)
O-SLW-c-sq-n-10-af Beta =                                    beta
5 Daily                           +.06(.10)
4 Several times/week              +.2(ns)
3 Several times/month(ref.)
4 Once a month                    +.01(ns)
5 Less than once a month          -.01(ns)
6 Never                           +.01(ns)

b and beta controlled for:
- Gross monthly income
- Personal wealth development
- Job related health risks
- Job security
- Commuting time in minutes (plus squared)
- Education level
- Knowledge of the German language
- Perceived health
- Perceived identity
- Balanced relation between work and family
- Marital status
- No own children
- Frequency contact w. Austrian friends
- Working climate
- Discrimination on the job
- Number of commuters in family/friends
- Enough leisure time
- Possibilities upward mobility
- Possibilities realizing own ideas
- Irregular employment
- Nation of origin
- Gender
- Age  and age squared
- Employment status
- Type of business
- Company size
- Ethnic differentiation on workfloor
- Commuting frequency
- Employment status before current job