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Correlational findings

Study Ivlevs et al. (2019): study ZZ World samples 2009

Public
Intimates left behind after migration, Multiple nations, 2009 - 2011
Survey name
INT-GallupWorldPoll2009-2011
Sample
Respondents
N = 142468
Non Response
Assessment
Interview: face-to-face
Phone interviews were used where telephone coverage is more than 80%.

Correlate

Authors's Label
Relatives abroad
Our Classification
Remarks
specification data for age, gender, and region retrieved from IZA Working Paper. No. 11437, March 2018
Distribution
1 = 14 %
Related specification variables
Operationalization
1=  any members of the household have gone to live in a foreign country permanently or temporarily in the past 5 years and are still living there.
0= Otherwise

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks C-BW-c-sq-l-11-c Beta = +.08 p < .01                                     beta   p
high income countries             + 0.09   .05
upper middle income countries     + 0.12   .01
lower-middle income countries     + 0.06   .05
low income coutries               + 0.05    ns

quintile 1 poorest within country + .04    ns
quintile 2                        + .09   .05
quintile 3                        + .05    ns
quintile 4                        + .07   .05
quintile 5 richest within country + .11   .01

quartile 1 most equal income(gini)+ .05    ns
quartile 2                        + .07   .05
quartile 3                        + .04    ns
quartile 4 most unequal income    + .12   .01

quartile 1 highest migration rate + .05    ns
quartile 2                        + .08   .01
quartile 3                        + .12   .01
quartile 4 lowest migration rate  + .11   .01

elementary education              + .12   .01
secundary education               + .05   .05
tertiary education                + .10   .01

East Asia and Pacific             + .10   .01
Western Europe                    + .08    ns
Transition                        + .05    ns
Latin America and Caribbean       + .10   .01
Middle East and North Africa      + .14   .01
North America                     - .48   .01
South Asia                        + .07    ns
Sub-Saharan Africa                + .06    ns

Age 15-35                         + .08   .01
Age 36-6-                         + .06   .05
Age over 60                       + .16   .01

Female                            + .11   .01
Male                              + .06   .05

Beta's adjusted for:
- remittances
- age
- sex
- marital status
- household size
- income
- education
- employment status
- subjective health
- importance religion
- city size
- country and survey dummies