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Correlational findings

Study Lovo (2014): study ZZ Europe 2008

Public
15+ general public, 25 European countries, 2008-2011
Survey name
INT-Gallup World Poll combined waves
Sample
Respondents
N = 80000
Non Response
Assessment
Interview: face-to-face
In some countries it is CATI

Correlate

Authors's Label
Potential migrants
Our Classification
Distribution
M= 30.06
Related specification variables
Operationalization
Self report on single question
"Are you planning to move permanently to another country in the next 12 months?
1: Yes
0: No

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks C-BW-c-sq-l-11-c DM = - AGE 15-25
- Yes       M = 6.53
- No        M = 7.04
Difference     -0.51 C-BW-c-sq-l-11-c DM = - AGE 25-35
- Yes       M = 6.02
- No        M = 6.66
Difference     -0.64 C-BW-c-sq-l-11-c DM = - AGE 35-45
- Yes       M = 5.97
- No        M = 6.68
Difference     -0.71 C-BW-c-sq-l-11-c DM = - AGE 45-55
- Yes       M = 5.77
- No        M = 6.41
Difference    -0.64











Similar results….. C-BW-c-sq-l-11-c DM = - AGE 55>
- Yes       M = 5.74
- No        M = 6.13
Difference     -0.39 C-BW-c-sq-l-11-c b = -.02 p < .01 b (-0.017) controlled for:
-Age
-Age squarred
-Employed
-Male
-Corruption
-Married
-Children
-Scondary education
-Beyond secondary
-Log of income
-Log of income squared
-Economy gets better
-City gets better
-Life in 5 year
-Optimistic
-Family abroad

Similar results obtained for pseudo factors
-Log of income
-Log of income squared
-Employed
-Male
-Scondary education
-Beyond secondary
-Married
-Children