The document discusses the relationship between money and happiness for older adults. It analyzes data from the Gallup database on variables like standard of living, health, donations, and finances among older populations in America, Europe, Asia, and Africa. The results show mostly weak or very weak correlations between happiness and these variables in Asia and Africa, but stronger correlations in America and Europe. Possible reasons given are differences in priorities and standards of living across regions and age ranges sampled. The study concludes that elderly happiness does correlate to some degree with how they spend on leisure, savings, donations, and health.

1. Money and
Happiness

2. Money and
Happiness
Aigerim Assylkhanova
Hilda A Nurbayyanti
Lorena Fadda
Nabilla D Adharina
Steve Darmadi
Tingyu Zhang
Bolun Zhang
Akimbek Saifulla

3. HappinessSubjective well-being
is considered to be one of the
important indicators of successful aging
(Herero and Extremera 2010)
What Makes Us
Happy?
GDP per capita
Social support
Healthy life expectancy
Freedom to make life choices
Generosity
Freedom from corruption
(WHR15)

4. more MONEY, more HAPPY !
COMMON
STEREOTYPE

5. Working Age Adults
Upcoming Stage of Life
$26,444
Wedding Costs*
*the U.S wedding report inc, 2015
$3,500
Childbirth Costs**
* according to Agency for Healthcare
Research and Quality Healthcare Cost and
Utilization Project

6. Older Adults
Retired Being not in money-making atmosphere
Nursing grandchild could be the
most lovable thing to do
no particular achievement to pursue
They don’t have particular stimulus to
make money
no particular achievement to pursue

7. HOMO
ECONOMICUS

8. How do you live today,
from 0 to 10?
(2012-2014 average)

9. Geography of Happiness

10. Geography of Happiness
80 years
70
years
60-65
years
(World bank data)

11. Research Question
Does exist a correlation between happiness and
money expenditure for older people?
Ho: The expenditure of elderly people on leisure, savings, donations, health, does not influece their
happiness.
H1: More elderly people spend their money in leisure, savings, donations, health, the more they are
happy.

12. Variables

13. Leisure1stVariable
TRAVE
LMove away or stay: In the next 12 month,
are you likely or unlikely to move away from the city
or area where you live?

14. 2nd
HealthVariable
Thinking about your life in general,
please rate your level of agreement using
a five-point scale

15. 3th
Standard of
LivingVariable
Are you satisfied or dissatisfied with your
standard
of living,all the things you can buy or do?

16. 4th
DonationVariable
1.Donated Money: Have you done any of
the following in the last month? How
about donated money to a charity?
2.Sent financial help: In the past 12
months did this household send help in
the form of money or goods to another
individual?

17. Methodology
• Literature review
• Sample definition : geographic area and age
• Variables definition
• Data collection from Gallup database
• Pearson correlation with SPSS software
• Interpretation of results
• Conclusions

18. Example of
SPSS
Very Strong 0,7 < X ≤ 1
Strong 0,5 < X ≤ 0,7
Weak 0,2 < X ≤ 0,5
Very Weak 0 < X ≤ 0,2
Applied for both negative and positive numeration

19. Correlation

20. America & Europe AfricaAsia
Happiness and Standard of Living
0,803 0,215 0,357
Very Strong Correlation Weak Correlation Weak Correlation

21. America & Europe Africa
0,401 0,359 0,215
Weak Correlation Weak Correlation Weak Correlation
Asia
Happiness and Sent Financial Help

22. America & Europe Africa
0,803 0,181 -0,145
Very Strong Correlation Very Weak Correlation Very Weak Correlation
Asia
Happiness and Donate Money

23. America & Europe Africa
0,308 -0,194 0,250
Weak Correlation Very Weak Correlation Weak Correlation
Asia
Happiness and Move Away

24. America & Europe Africa
-0,534 -0,131 -0,176
Strong Correlation Very Weak Correlation Very Weak Correlation
Asia
Happiness and Have Enough Money
(Strongly Disagree variable)

25. Variables America and Europe Asia Africa
Standard of Living Very Strong (+) Weak (+) Weak (+)
Have Enough Money (health) Strong (-) Very Weak (-) Very Weak (-)
Donated Money Very Strong (+) Very Weak (+) Very Weak (-)
Sent Financial Help Weak (+) Weak(+) Weak (+)
Move Away Weak (+) Very Weak (-) Weak (+)
Summary

26. Possible
Reasons
1. Countries in Asia and Africa have lower priority to afford high quality of life;
2. American and European countries used to enjoy high life standards, so they’ tend
to be more sensitive to money;
3. The data collected from gallup, selected from 50+ respondent (there is no older
categories). In europe and america, there could be tendency to retire in older age.
Even 50-60 could still be considered as working age. Therefore, it could be unfair
to compare european and american data to other continents.

27. Conclusion
Ho is rejected
There is a correlation between happines and several variables
(Standard of living, have enough money (health), donated
money, move away, sent financial help) eventhough not all of
variables have strong correlation with happiness.

28. Thank You!