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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
Remittances
Our Classification
Remarks
specification data for age, gender, and region retrieved from IZA Working Paper. No. 11437, March 2018
Related specification variables
Operationalization
1 = receive money or goods from an individual abroad in the past 12 months
0 = otherwise.


1= Houses with relatives abroad
0= Otherwise

Countries according to World Bank income group, 2010.

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks C-BW-c-sq-l-11-c Beta = +.11 p < .01                                     beta    p
high income countries             - 0.07   ns
upper middle income countries     + 0.07   ns
lower-middle income countries     + 0.18  .01
low income coutries               + 0.11   ns

quintile 1 poorest within country + .22   .01
quintile 2                        + .10    ns
quintile 3                        + .22   .01
quintile 4                        + .11   .01
quintile 5 richest within country - .07    ns

quartile 1 most equal income(gini)+ .04    ns
quartile 2                        + .04   .05
quartile 3                        + .19   .01
quartile 4 most unequal income    + .16   .01

quartile 1 highest migration rate + .21   .01
quartile 2                        + .13   .01
quartile 3                        - .11   .05
quartile 4 lowest migration rate  + .08    ns

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

East Asia and Pacific             + .21   .01
Western Europe                    - .09    ns
Transition                        + .05    ns
Latin America and Caribbean       + .18   .01
Middle East and North Africa      + .02    ns
North America                     - .23   .01
South Asia                        + .28   .01
Sub-Saharan Africa                + .16   .01

Age 15-35                         + .11   .01
Age 36-60                         + .08   .05
Age over 60                       + .16   .01

Female                            + .11   .01
Male                              + .11   .01

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