Correlational finding on Happiness and subject: House owned or rented

StudyGaymu & Springer (2010): study ZZ Europe 2004
TitleLiving Conditions and Life Satisfaction of Older Europeans Living Alone: A Gender and Cross-country Analysis
SourceAgeing and Society 30, 2010, 1153-1175
DOIdoi: 10.1017/S0144686X10000231
Public60+ aged living alone, 10 European Nations, 2004
SampleNon-probability purposive sample
Non-Response
Respondents N =3501

Correlate
Author's labelHouse ownership
Page in Source 1164
Our classificationHouse owned or rented
Operationalization
1:  No (reference)
2:  Yes

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-g-sq-v-4-eOR=0.93 ns
YES (vs no)

OR controlled for: 
-age
-marital status
-limitations in daily activities
-education
-income
-gender
-neighborhood
-infrastructure
-children
-receives help
-provides help
-leisure
O-SLu-g-sq-v-4-eOR=1.46 p < .01
OR additionally controlled for country
 
OR's computed for 'very satisfied or satisfied' 
(vs not satisfied)
Similar results when computed for 'very satisfied' 
(vs satisfied and not satisfied)


Appendix 1: Happiness measures used
CodeFull Text
O-SLu-g-sq-v-4-eSelfreport on single question

In general, how satisfied are you with your life?
1 very dissatisfied
2 dissatisfied
3 satisfied
4 very satisfied


Appendix 2: Statistics used
SymbolExplanation
OROR: Odds ratio in binary logistic regression.

Happiness is a binary or dichotomous variable with Happy =1 and Unhappy=0.

OR < 1 indicates that the odds of being happy-to-being unhappy
decreases by a factor OR when

1) the corresponding metric correlate increases by one unit
2) the corresponding category of a categorical correlate is compared to the reference category.

OR > 1 indicates an increase by a factor OR for both the above cases.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl