Correlational finding on Happiness and subject: House owned or rented

StudyShields et al. (2009): study AU 2001
TitleLife Satisfaction and the Economic and Social Characteristics of Neighbourhoods.
SourceJournal of Population Economics, 2009, Vol. 22, 421 - 443
DOIDOI: 10.1007/s00148-007-0146-7
Public15+ aged general public, Australia, 2001
SampleProbability multi-stage random
Non-Response34%
Respondents N =13903

Correlate
Author's labelHouse renter
Page in Source 433, 440
Our classificationHouse owned or rented
Operationalization
Self-report on single question:
Do you (or any other members of this household) own 
this home, rent it, or do you
live here rent free?
1: Renting
  a) Rent (or pay board) / Rent-buy scheme
  b) Live here rent free / Life Tenure
0: Own / currently paying off mortgage (reference)
Observed distributiona) 72%, b) 26%, c) 2%
Remarks
Signs were reversed by WDH team.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-n-11-dOPRC=+.17 p < .01
PAYING RENT (vs owner)
Males
O-SLW-u-sq-n-11-dOPRC=+.13 p < .01
Females
O-SLW-u-sq-n-11-dOPRC=+.25 p < .05
RENT-FREE (vs owner)
Males
O-SLW-u-sq-n-11-dOPRC=+.05 ns
Females

OPRC's controlled for:
- neighbourhood fixed effects (unobserved 
characteristics of the neighbourhood)
- age and age squared
- number of children
- marital status
- number of parents
- being an Aboriginal/Torres Strait Islander
- immigrant status
- English speaking ability
- health
- level of education
- employment status
- household income
- religion
- frequency-preference of paying bills
- suspicious of interview questions
- others present during interview
- respondent was living with both parents  
  at age 14


Appendix 1: Happiness measures used
CodeFull Text
O-SLW-u-sq-n-11-dSelfreport on single question:

All things considered, how satisfied are you with your life?
Again, pick a number between 0 and 10 to indicate how satisfied you are.
0 totally dissatisfied
1
2
3
4
5
6
7
8
9
10 totally satisfied


Appendix 2: Statistics used
SymbolExplanation
OPRCOPRC: Regression coefficient in ordered categorical probit regression.
Only the sign of the computed coefficient is informative.

Happiness is an ordered categorical variable. Higher categories correspond to being more happy.

OPRC < 0 indicates that the probability of being beyond a chosen happiness category decreases and the probability of being at or below that category increases when

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

OLRC > 0 indicates that the probability of being beyond a chosen happiness category
increases and the probablity of being at or below that category decreases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl