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Happiness & Money
The document explores the relationship between happiness and financial expenditures among older adults, discussing various factors such as leisure spending, donations, and health. It analyzes data from Gallup and highlights significant correlations in happiness levels across different regions, with stronger correlations observed in America and Europe compared to Asia and Africa. The conclusion drawn is that an increase in spending in certain areas does correlate with higher happiness, rejecting the null hypothesis that such expenditures do not influence happiness.
Happiness & Money
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- 2. Money and Happiness AigerimAssylkhanova Hilda A Nurbayyanti Lorena Fadda Nabilla D Adharina Steve Darmadi Tingyu Zhang Bolun Zhang Akimbek Saifulla
- 3. Happiness Subjective well-being is consideredto 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, moreHAPPY ! COMMON STEREOTYPE
- 5. Working Age Adults UpcomingStage 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 Beingnot 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
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- 8. How do youlive today, from 0 to 10? (2012-2014 average)
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- 10. Geography of Happiness 80years 70 years 60-65 years (World bank data)
- 11. Research Question Does exista 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.
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- 13. Leisure1st Variable TRAVEL Move awayor 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 aboutyour life in general, please rate your level of agreement using a five-point scale
- 15. 3th Standard of LivingVariable Are yousatisfied or dissatisfied with your standard of living,all the things you can buy or do?
- 16. 4th DonationVariable 1.Donated Money: Haveyou 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 VeryStrong 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
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- 20. America & EuropeAfricaAsia Happiness and Standard of Living 0,803 0,215 0,357 Very Strong Correlation Weak Correlation Weak Correlation
- 21. America & EuropeAfrica 0,401 0,359 0,215 Weak Correlation Weak Correlation Weak Correlation Asia Happiness and Sent Financial Help
- 22. America & EuropeAfrica 0,803 0,181 -0,145 Very Strong Correlation Very Weak Correlation Very Weak Correlation Asia Happiness and Donate Money
- 23. America & EuropeAfrica 0,308 -0,194 0,250 Weak Correlation Very Weak Correlation Weak Correlation Asia Happiness and Move Away
- 24. America & EuropeAfrica -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 andEurope 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. Countriesin 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 Thereis 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.
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