Dynamic Analysis of Social and Macro Determinants of Happiness Across Varying Income Countries (2006-2023)

Authors

  • HTWE KO Faculty of Economics, Chiang Mai University, Thailand
  • Pathairat Pastpipatkul Faculty of Economics, Chiang Mai University, Thailand

DOI:

https://doi.org/10.70730/tureview.v29i1.241295

Keywords:

Money, Happiness, Bayesian Variable Selection, Bayesian Nonlinear Multivariate Panel

Abstract

Since 2011, a more holistic approach to development has been adopted by the UN which introduced the concept of “happiness”, and subsequent claims have been made to loosen the link between material wealth, particularly money, and “happiness”. This study explores the dynamic effect of the role of money in generating happiness using Gallup World Pool (GWP) survey data. The sample size includes a total of 78 countries consists of 17 higher income economies, 25 upper-middle income economies, 14 lower-middle income economies and 22 lower income economies from 2006 to 2023. First, we determined important covariates influencing happiness in addition to income and GDP growth by using Bayesian additive regression trees and Bayesian variable selection with shrinking and diffusing prior models. Second, we used a Bayesian dynamic nonlinear multivariate panel model to estimate the time-variant and time-varying effects of income and growth on happiness. Our main results show (1) freedom to make life choices, generosity and perception of corruption in higher income countries, generosity and healthy life expectancy at birth in upper middle-income countries, freedom to make life choices and generosity in lower middle-income countries, and healthy life expectancy at birth and freedom to make life choices in lower income countries are found to be important factors on happiness or subjective well-being (SWB), (2) income and real GDP growth have mixed and small effects on SWB across countries with varying income levels, and (3) generosity and freedom to make life choices were found to have the highest positive and significant effects on SWB. These results reveal that happiness is heavily affected by multidimensional factors beyond money. This study adds to the existing empirical literature on the role of money in generating happiness across nations with varying income levels.

References

Ambrosio, C. D., Jantti, M. & Lepinteur, A. (2020). Money and happiness: Income, wealth and subjective well-being. Social Indicators Research, 148, pp. 47-66. https://doi.org/10.1007/s11205-019-02186-w

Beherea, D. K., Rahut, D. B., Padmaja, M. & Dash, A. K. (2024). Socioeconomic determinants of happiness: Empirical evidence from developed and developing countries. Journal of Behavioral and Experimental Economics, 109, 102187. https://doi.org/10.1016/j.socec.2024.102187

Chipman, H. A., George, E. I, & McCulloch, R. E. (2010). BART: Bayesian additive regression trees. Annals of Applied Statistics, 4(1), pp. 266-298.

Chudik, A. & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), pp. 393-420. https://doi.org/10.1016/j.jeconom.2015.03.007

Diener, E., Lucas, R. E. & Oishi, S. (2002). Subjective well-being: The science of happiness and life satisfaction, in Shane J. Lopez, and C. R. Snyder (eds), The Oxford Handbook of Positive Psychology (2nd edn), pp. 187-194. Oxford Academic. https://doi.org/10.1093/oxfordhb/9780195187243.013.0017

Ding, J., Salinas-Jimenez, J. & Salinas-Jimenez, M. d. M. (2021). The impact of income inequality on subjective well-being: The case of China. Journal of Happiness Studies, 22, pp. 845-866. https://doi.org/10.1007/s10902-020-00254-4

DiMario, C. H., Peroni, C. & Sarracino, F. (2020). Happiness matters: Productivity gains from subjective well-being. Journal of Happiness Studies, 21, pp. 139-160. https://doi.org/10.1007/s10902-019-00074-1

Easterlin, R. A. (2023). Why does happiness respond differently to an increase vs. decrease in income? Journal of Economic Behavior and Organization, 209, pp. 200-204. https://doi.org/10.1016/j.jebo.2023.03.005

Easterlin, R. A. (2013). Happiness and economic growth: The evidence. Discussion Paper No. 7187, Global Handbook of Well-Being and Quality of Life. Wolfang Glatzer, ed,. Springer.

Easterlin, R. A. (1974). Nations and households in economic growth? Some Empirical Evidence. Essays in Honor of Moses Abramovitz, pp. 89-125. https://doi.org/10.1016/B978-0-12205050-3.50008-7

Frey, B. S. & Stutzer, A. (2001). Happiness, economy and institutions. The Economic Journal, 110(466), pp. 918-938. https://doi.org/10.1111/1468-0297.00570

Frey, B. S. (2021). What future happiness research? In Bruni, L., Smerilli, A. and Rosa, D. D. (eds) A Modern Guide to the Economics of Happiness, pp. 17-27. Elgaronline. https://doi.org/10.4337/9781788978767

Florida, R., Mellander, C. & J. Rentfrow, P. (2011). The happiness of cities. Regional Studies, 47(4), pp. 613-627. https://doi.org/10.1080/00343404.2011.589830

FitzRoy, F. R. and Nolan, M. A. (2022). Income status and life satisfaction. Journal of Happiness Studies, 23, pp. 233-256. https://doi.org/10.1007/s10902-021-00397-y

Filho, D. A. D. B. & Artes, R. (2018). Application of bayesian additive regression trees in the development of credit scoring models in Brazil. Production, 28, e20170110. Doi: 10.1590/0103-6513.20170110

Helliwell, J. F., Layard, R., Sachs, J. D., De Neve, J.-E., Aknin, L. B., & Wang, S. (Eds.). (2024). World Happiness Report 2024. University of Oxford: Wellbeing Research Centre.

Helske, J. & Tikka, S. (2024). Estimating causal effects from panel data with dynamic multivariate panel models. Advances in Life Course Research, 60, 100617. https://doi.org/10.1016/j.alcr.2024.100617

Im, K. S., Pesaran, M. H. & Shin, Y. (2003). Testing for Unit Roots in Heterogeneous Panels. Journal of Econometrics, 115, pp. 53-74. https://doi.org/10.1016/S0304-4076(03)00092-7

Jantsch, A. and Veenhoven, R. (2019). Private wealth and happiness: A research synthesis using an online findings-archive. In. Gael Brule & Christian Suter (eds) Wealth(s) and Subjective Well-Being. Part of the Social Indicators Research Series, 76, pp. 17-50. Springer. https://rd.springer.com/book/10.1007%2F978-3-030-05535-6#toc

Kahneman, D. & Deaton, A. (2010). High income improves evaluation of life but not emotional well-being. Center for Health and Well-being: Princeton University. Doi: 10.1073/pnas.1011492107

Killingsworth, M. A., Kahneman, D. & Mellers, B. (2023). Income and emotional well-being: A conflict resolved. Psychological and Cognitive Sciences, 120(10): e2208661120. https://doi.org/10.1073/pnas.2208661120

Kollamparambil, U. (2020). Happiness, happiness inequality and income dynamics in South Africa. Journal of Happiness Studies, 21, pp. 201-222. https://doi.org/10.1007/s10902-01900075-0

Kakamura, H. (2001). Gotama Buddha: A Biography Based on the Most Reliable Texts, Vol. 1. Kosei Publishing.

Kapelner, A. & Bleich, J. (2016). bartMachine: Machine learning with Bayesian additive regression

trees. Journal of Statistical Software, 70(4), pp.1-40. Doi: 10.18637/jss.v070.i04

Muresan, G. M., Ciumas, C. & Achim, M. V. (2020). Can money buy happiness? Evidence for European countries. Applied Research in Quality of Life, 15, pp. 953-970. https://doi.org/10.1007/s11482-019-09714-3

Narisetty, N. N. & He, X. (2014). Bayesian variable selection with shrinking and diffusing priors. Annals of Statistics, 42(2), pp. 789-817. Doi: 10.1214/14-AOS1207

Lopez-Ruiz, V-R, Huete-Alcocer, N., Alfaro-Navarro, J-L. & Nevado-Pena, D. (2021). The relationship between happiness and quality of life: A model for Spanish society. PLoS ONE, 16(11): e0259528. https://doi.org/10.1371/journal.pone.0259528

Lim, H. E., Shaw, D., Liao, P.S., & Duan, H. (2020). The Effects of income on happiness in East and South Asia: Societal values matter? Journal of Happiness Studies, 21, pp.391-415. https://doi.org/10.1007/s10902-019-00088-9

Oishi, S., Cha, Y., Komiya, A. & Ono, H. (2022). Money and happiness: the income-happiness correlation is higher when income inequality is higher. PNAS Nexus, 1, pp. 1-12. https://doi.org/10.1093/pnasnexus/pgac224

Pastpipatkul, P. & Ko, H. (2025). Buddhist thought on happiness and income growth relations across varying income countries. J Happiness Stud, 26, 91. https://doi.org/10.1007/s10902-025-00921-4

Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), pp. 265-312. https://doi.org/10.1002/jae.951

Pearl, J. (2009). Causality: Models, reasoning and inference. 2nd Edition. Cambridge University Press, Cambridge.

Rojas, M. (2019). Relative income and happiness in Latin America: Implications for inequality debates: In: Rojas, M. (eds) The Economics of Happiness. Springer. https://doi.org/10.1007/978--3-030-15835-4_5

Raibley, J. R. (2012). Happiness is not well-being. Journal of Happiness Studies, 13, pp. 1105-1129. https://doi.org/10.1007/s10902-011-9309-z

Stevenson, B. & Wolfers, J. (2008). Economic growth and subjective well-being: reassessing the Easterlin paradox. CESIFO Working Paper No. 2394. https://hdl.handle.net/10419/26439

Simona-Moussa, J. (2020). The subjective well-being of those vulnerable to poverty in Switzerland. Journal of Happiness Studies, 21, pp. 1561-1580. https://doi.org/10.1007/s10902-01900143-5

Tikka, S. & Helske, J. (2024). dynamite: An R package for dynamic multivariate panel models. arXiv preprint. Doi: 10.48550/arXiv.2302.01607

Veenhoven, R. (2015). Informed pursuit of happiness, what we should know, do we know and can we get to know? Journal of happiness Studies, 4, pp. 1035-1071. Doi: 10.1007/s10902 014-9560-1

Xiang, Q. & Narisetty, N. (2022). Package ‘basad’. CRAN, Available at https://cran.r-project.org/web/packages/basad/basad.pdf

Zhu, Z., Ma, W., Leng, C. & Nie, P. (2021). The Relationship between happiness and consumption expenditure: Evidence from rural China. The International Society for Quality-of-Life Studies,16, pp. 1587-1611. https://doi.org/10.1007/s11482-020-09836-z

Downloads

Published

2026-06-26

How to Cite

KO, H., & Pathairat Pastpipatkul. (2026). Dynamic Analysis of Social and Macro Determinants of Happiness Across Varying Income Countries (2006-2023). Thammasat Review, 29(1), 245–269. https://doi.org/10.70730/tureview.v29i1.241295