Happiness Flashcards
Why use happiness (2)
Which country use happiness
Income-based measures (GDP) omits important aspects affecting wellbeing.
Also can overlook distribution of income i.e inequality not captured in GDP per capita
Bhutan
What do income-based measures omit, examples (2 pos and 2 neg
B) How do we typically measure wellbeing, and issue with this
Improved health (quality of life)
Improved life expectancy
Increased pollution
Longer commuting times
B) utility - problems with reliability of survey data
Easterlin paradox
b) who does this concern in particular
At a certain point wellbeing stops rising along with economic growth. (We then get negligible gains i.e insignificant)
B - developed nations - economic growth does not increase wellbeing
So what would this look like visually
What is the threshold for negligible gains approximately
Concave curve, since marginal utility (mean life satisfaction) diminishes as growth increases
B) Around £30k
Main takeaways of easterlin paradox
Happiness and income go up together in the short run.
In long run - unrelated
How to measure happiness (2)
Surveys - as can’t be directly observed! (Reliability issues)
US general social survey (very happy, pretty happy, not too happy)
Eurobarometer Survey
Findings
Mean life satisfaction 3.16 (out of 4)
31% reported themselves very happy (the highest one)
What does this imply
Difficult to achieve significant increases in average happiness, since almost 1/3 unable to report themselves higher than already.
What does this say for research design
Needs a finer scale, to be able to see improvements/disimprovements.
(Only 3 possible options, so implies people who pick the top cannot be improved. (The 31% that picked very happy!)
Issues with measuring happiness (4)
Subjective - define happiness differently.
Distinguishing between transitory variations
(mood vs underlying happiness)
(Even if holistic measure) Can it be conveyed to the researcher?
Comparability
Well-being function
r = h(u(y,Z,t)) + e
r is reported wellbeing
happiness (h) is just a function of…
u is true utility which is determined by
y: income
z: other factors e.g married/unmarried
t: time
e: error
Relationship between r and u
B) Draw diagram for the wellbeing function too! (Pg 20)
Key: given level of r (reported wellbeing) is associated with a range of different u (utility)
since there is an error term e.g to account for measurement errors
B) diagram captures error term by having different u’s for the given r (on the Y axis)
So some economists reject using happiness since survey data too unreliable.
Blanchflower and Oswald oppose this & use psychology.
What did they say happiness is affected by (4)
Circumstances e.g job, marital status
Aspirations
Comparisons with others (keeping up)
Baseline happiness (naturally happier than others)
Using econometric t-tests:
What factors were significant on happiness (5)
Age
Gender
Work status
Marital status
Income
Age relationship with life satisfaction
Non-monotonic relationship with life satisfaction (getting older isn’t ALWAYS better)
Positive coefficent on Age² implications
B) what age does it hit this point for men vs women
Life satisfaction reaches a minimum at a certain point
Aroud 36 for men, 40 women
U shaped happiness: 3 stages
Youthful optimism > middle aged realisation (so hit minimum satisfaction)>old age acceptance/satisfaction,
Gender on life satisfaction
Men are slightly less satisfied with their lives than women (Same results in APS, genders are similar)