Correlational finding on Happiness and subject: What one eats

StudyHuffman & Rizov (2016): study RU 1994
TitleLife Satisfaction and Diet: Evidence from the Russian Longitudinal Monitoring Survey.
SourceSelected Paper prepared for presentation at the 2016 Agricultural & Applied Economics Association Annual Meeting, 2016, 1 - 25, Boston, Massachusetts.
URLhttps://ideas.repec.org/p/ags/aaea16/235148.html
Public16+ aged, general public, Russia, 1994-2005
SampleProbability multi-stage random
Non-Response
Respondents N =4000

Correlate
Author's labelFat consumption
Page in Source 20,24
Our classificationWhat one eats
Operationalization
Fat (share in % of daily calories from fat) in 
logarithm.
Observed distributionM = 3.44 Sd = 0.34

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-aDM=+
Set Image size:   

O-SLu-u-sq-v-5-aOLRC=+.22 p < .01
OLRC controled for:
- age
- education
- household size
- children in household
- calories consumed per day in logarithm
- protein % of daily calories in logarithm
- food diversity (Transformed Berry Index)
- work (is employed)
- gender (male = 1)
- married (married =1)
- is smoker
- is drinker
- health (having problems last month = 1)
- region
- year of observation


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

On the whole, are you…?
5 fully satisfied
4 not fully satisfied but generally
3 neither satisfied nor dissatisfied
2 still dissatisfied
1 extremely dissatisfied


Appendix 2: Statistics used
SymbolExplanation
DMDIFFERENCE of MEANS
Type: descriptive statistic only.
Measurement level: Correlate: dichotomous, Happiness: metric
Range: depending on the happiness rating scale of the author; range symmetric about zero.

Meaning: the difference of the mean happiness, as measured on the author's rating scale, between the two correlate levels.
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.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl