Correlational finding on Happiness and Population size in nation
Subject code: N03ab07

StudyInoguchi & Fujii (2013): study MN 2003
TitleThe Quality of Life in Asia. A Comparison of Quality of Life in Asia
SourceSpringer, 2013, Dordrecht, Netherlands
URLhttps://books.google.nl/books?hl=nl&lr=&id=Hy69XDD2zooC&oi=fnd&pg=PR5&dq=inoguchi+%2B+The+Quality+of+Life+in+Asia&ots=rtiFUZCZPJ&sig=gD8EwuaC44rBzLvEB0TnThKoJOk#v=onepage&q=inoguchi%20%2B%20The%20Quality%20of%20Life%20in%20Asia&f=false
DOIdoi:10.1007/978-90-481-9072-0
PublicWorking aged (20-69), Mongolia, 2003-2008
SampleProbability multistage stratified area sample
Non-Response
Respondents N =536

Correlate
Author's labelCity size
Page in Source 107,111-112
Our classificationPopulation size in nation, code N03ab07
Operationalization
a  Rural (reference)
b Urban

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-5-mbOLRC=-.23 ns
b. Urban

- ALL
O-HL-c-sq-v-5-mbOLRC=-.45 ns
- Marrieds only

OLRC's controlled for:
- INDIVIDUAL characteristics:
  - Satisfaction with other life domains
  - Access to public services:
    - water supply
    - electricity
    - piped gas
  - lifestyle characteristics:
    - religion
    - living internationally
    - English ability
    - homeownership
    - number of family members
    - relative standard of living
    - no right to vote
  - Socioeconomic status:
    - gender
    - marital status
    - age
    - income
    - educational attainment


Appendix 1: Happiness measures used
CodeFull Text
O-HL-c-sq-v-5-mbSelfreport on single question:

All things considered, would you say you are happy these days?
5 very happy
4 quite happy
3 neither happy nor unhappy
2 not too happy
1 very unhappy


Appendix 2: Statistics used
SymbolExplanation
OLRCORDERED LOGIT REGRESSION COEFFICIENT
Statistic: Ordered logit regression coefficient
Measurement level: Correlate: metric, Happiness: ordered responses
Theoretical range: unlimited

OLRC > 0 A one unit increase in the independent variable corresponds to a higher probability of responding in the highest category of the dependent variable and to a lower probability of responding in the lowest category of the dependent variable.

OLRC< 0 A one unit increase in the independent variable corresponds to a lower probability of responding in the highest category of the dependent variable and to a higher probability of responding in the lowest category of the dependent variable.

OLRC = 0 No relationship between the independent and dependent variable..

Remarks:
The interpretation for the intermediate categories of the dependent variable are ambiguous. It is advised to use marginal effects.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl