Study Diego-Rosell et al. (2018): study ZZ 2011
- Public
- 15+ aged, general public, 153 nations, 2011-2013
- Survey name
- INT-Gallup World Polls
- Sample
- Respondents
- N = 370635
- Non Response
- Assessment
-
Interview: face-to-face
79% face-to-face, 21% telephone
Correlate
- Authors's Label
- Multiple variables
- Our Classification
-
-
- Operationalization
- a Demographic factors:
- gender
- age, age2
- years of formal education
- marital status
- location
- birthplace
- number of children in household
b Material well-being:
- not enough money for food
- not enough money for shelter
- satisfaction with household income
- home has a cellular phone
- home has tv
- home has internet access
c Physical health:
- health problerms
- feel well-rested
- satisfied w. opportunity to make friends
- have someone to count on
- received remittances
d Material well-being:
- city economy
e Community context:
- satisfied with city/area
- would recommend city/area
- good place for immigrants
- children are respected
- children can learn and grow
- satisfied with health care
- satisfied with schools
- satisfied with public transportation
- satisfied with roads and highways
- satisfied with housing optons
- satisfied with quality of air
- satisfied with quality of water
- satisfied with environmental preservation
- had any money/property stolen
- region important in life
- feel safe walking alone at night
- good place for minorities
- good place for gay/lesbian
f Governance:
- corruption in businesses
- corrup[tion in government
- satisfied with freedom in your life
- satisfied with media freedom
- easy to start business
- confidence in judicial system
- confidence in honesty of elections
- confidence in local police
- confidence in military
- confidence in national government
g Altruistic behavior:
- donated money to charity
- volunteered time
- helped a stranger
Observed Relation with Happiness
WORLD
REGIONS R2
EU+ .448
Balkans .409
CIS .287
NAmANZ .361
SE Asia .386
S Asia .404
E Asia .314
Lat.Am. .316
MENA .456
SSA .369
REGIONS R2
EU+ .473
Balkans .470
CIS .335
NAmANZ .425
SE Asia .413
S Asia .538
E Asia .378
Lat.Am. .357
MENA .534
SSA .437
The addition of an objective income variable in the model does not effect the result significantly
R2
EU+ .236
Balkans .324
CIS .217
NAmANZ .321
SE Asia .204
S Asia .237
E Asia .190
Lat.Am. .316
MENA .314
SSA .206
R2
EU+ .308
Balkans .420
CIS .294
NAmANZ .313
SE Asia .302
S Asia .330
E Asia .328
Lat.Am. .372
MENA .399
SSA .321
The addition of an objective income variable in the model does not effect the result significantly