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Correlational findings

Study Brown et al. (2015a): study ZZ OECD member states 2011

Public:
+18 aged, metropolitan areas in 5 OECD nations, 2011
Survey name:
INT-OECD household survey
Sample:
Respondents:
N = 1964
Non Response:
>25%
Assessment:
Questionnaire: web
.

Correlate

Authors's Label
illness in the household
Our Classification
Distribution
M=1.66; SD=2.02
Operationalization
Number of medical conditions stated to be present in the household, divided by the number of household members.

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-l-11-g OPRC = - p < .01 OPRC (-.0458) controled for:
- Social Economic Status (SES)
  - gender
  - age
  - education (years post secundary)
  - married
  - children
  - unemployed
  - home ownner
  - unemployed
  - home size (m2)
  - income (log)
- country level effects (fixed)
- city level effects (random)
O-SLW-c-sq-l-11-g OPRC = - p < .01 OPRC (-.0496) additionally controlled for:
- Local characteristics
  - land use diversity (index)
  - green space fraction within 5 km)
  - distance to core (clostest quartile)

ORPC smaller if controled only for these varianles separately
O-SLW-c-sq-l-11-g OPRC = - p < .01 OPRC (-.0498) if additionally controled for:
- regional characteristics
  - population density (1000 people per km2)
  - centralization
  - density of roads
  OPRC lower if controled for centralization only
O-SLW-c-sq-l-11-g OPRC = - France      OPRC = -.06
Japan       OPRC = -.03
Nerherlands OPRC = -.01
Spain       OPRC = -.03
Swerden     OPRC = -.07