Correlational finding on Happiness and subject: House owned or rented

StudyCheng et al. (2013): study CN 2011
TitleHousing and Subjective Wellbeing in Urban China.
SourceMonash University, Department of Economics, Discussion Paper, 2013, No. 39, Melbourne, Australia.
PublicAdult, general public, China, 2011
SampleProbability multistage stratified area sample
Non-Response
Respondents N =5229

Correlate
Author's labelHomeownership
Page in Source Table 3
Our classificationHouse owned or rented
Operationalization
1. yes
0. no(reference)
Observed distribution1. 87.74%; 0. 12.26%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-ib=+.21 p < .01
B controlled for:
-Socioeconomic characteristics
 -gender
 -age
 -schooling
 -marital status
 -household size
 -rural hukou
 -Party member
 -social insurance
 -income


Appendix 1: Happiness measures used
CodeFull Text
O-SLu-u-sq-v-5-iSelfreport on single question:

Overall, are you satisfied with your life?
5. very satisfied
4. satisfied
3. Neutral
2. dissatisfied
1. very dissatisfied


Appendix 2: Statistics used
SymbolExplanation
bREGRESSION COEFFICIENT (non-standardized) by LEAST SQUARES (OLS)
Type: test statistic
Measurement level: Correlate: metric, Happiness: metric
Theoretical range: unlimited

Meaning:
b > 0 A higher correlate level corresponds with a higher happiness rating on average.
B < 0 A higher correlate level corresponds with a lower happiness rating on average.
B = 0 Not any correlation with the relevant correlate.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl