Correlational finding on Happiness and subject: Current employment status

StudyCavalcanti et al. (2009): study ZZ 2005
TitleIs Brazil the Land of Happiness? A comparative Study Using a Sample with conomics Students from UFPE and purdue.
SourceBrazilian Review of Econometrics, 2009, Vol. 29, 17 - 35
PublicUniversity students, Brazil and United States, 2005-2006
SampleNon-probability purposive sample
Respondents N =185

Author's labelWorking
Page in Source 22-23
Our classificationCurrent employment status
Single direct question, rated on a 3-point scale:
2 Fulltime (reference)
1 Parttime working
0 Not working
Observed distribution WORKING STATUS in % No work Parttime Full-time Purdue students 42 52 6 UFPE students 50 38 12

Observed Relation with Happiness
O-HL-u-sq-v-3-dOLRC=+.43 ns

USA:    OLRC= +0.043 (ns)
Brazil: OLRC= +1.026 (ns)
O-HL-u-sq-v-3-dOLRC=+.73 ns

ORLC's controlled for:
- nationality
- age
- gender
- income

When not controlled for nationality:
USA:    OLRC= +0.263 (ns)
Brazil: OLRC= +0.927 (ns)

Appendix 1: Happiness measures used
CodeFull Text
O-HL-u-sq-v-3-dSelfreport on single question:

Are you happy?
1 I am not happy
2 I am pretty happy
3 I am very happy

Appendix 2: Statistics used
OLRCOLRC: Regression coefficient in ordered categorical logistic regression.
Only the sign of the computed coefficient is informative.

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

OLRC < 0 indicates that the odds of being beyond a chosen happiness category-to- be-ing 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.

OLRC > 0 indicates an increase in the odds for both the above cases.
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.