Document Type : Research Paper

Authors

1 Associate Professor, Department of Energy, Agriculture and Environmental Economics, Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran

2 Associate Professor, Department of Theoretical Economics, Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran

3 Professor, Department of Theoretical Economics, Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran

4 Ph.D. Candidate in Theoretical Economics, Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran

Abstract

The effect of income on subjective well-being, often used as a key measure of well-being, has been widely studied. However, various dimensions of this relationship remain unexplored. The current study aimed to examine the nonlinear effect of income on the subjective well-being of 58 countries over during 2005–2020. The analysis relied on two distinct scenarios. The Panel Smooth Threshold Regression (PSTR) model, derived from regime-switching models, was employed for the analysis. Additionally, the study investigated the effects of income, unemployment, inflation, life expectancy, and income inequality on subjective well-being. The findings revealed that in a nonlinear relationship, the effect of GDP on subjective well-being diminishes at a certain threshold value of income inequality. Consequently, while policymakers aim to increase national income and reduce income inequality to enhance well-being, it is crucial to recognize that further reductions in inequality beyond a certain threshold may reduce the effect of income on well-being. This suggests that after a certain threshold, governments should prioritize reallocating resources toward other essential needs rather than solely focusing on reducing income inequality.
1.Introduction
Well-being is one of the primary indicators of development and a crucial element in social progress, making it a growing focus for policymakers. In a seminal 1974 article, Easterlin found that wealthy individuals are generally happier than their poorer countrymen. However, at a cross-national level, the average happiness in wealthier nations does not exceed that of poorer nations. Furthermore, despite significant economic growth in the United States between 1944 and 1970, no corresponding increase in average happiness was observed. These findings became known as the Easterlin Paradox. Easterlin contends that while economic growth may boost happiness in the short term, it has no lasting impact (over 10 years or more) on a nation’s happiness. Policymakers, seeking to address the question of what constitutes a fair level of income inequality, have thought of various policies. For some, the relationship between income inequality and economic growth is the primary focus of policymaking. Easterlin contends that while economic growth may boost happiness in the short term, it has no lasting impact (over 10 years or more) on a nation’s happiness. Policymakers, seeking to address the question of what constitutes a fair level of income inequality, have thought of various policies. For some, the relationship between income inequality and economic growth is the primary focus of policymaking. Research in the field of happiness economics has sought to explain the Easterlin Paradox and adjust macroeconomic policies accordingly. To date, the threshold factor (in the case of the effect of income on subjective well-being) has often been determined exogenously, visually, or based on the assumption of a linear relationship. The present study sought to answer the following question: Does income affect subjective well-being, taking into account the threshold factor of income and income inequality?
2.Materials and Methods
The present study used the Panel Smooth Threshold Regression (PSTR), which is a generalized version of the Panel Threshold Regression (PTR) model introduced by Gonzales et al. (2005). This nonlinear model extends regime-switching models, where regimes are determined by a threshold variable. The explanatory variables included inflation, unemployment, life expectancy, and gross domestic product (GDP) adjusted for purchasing power parity (PPP). The data for these variables was sourced from the World Bank, while the inequality dispersion ratio was obtained from the World Inequality Database. Numerous studies have investigated the effect of macroeconomic variables on subjective well-being indices. Such studies tend to examine inflation and unemployment together, with their potential interdependence typically overlooked. The dependent variable was subjective well-being, assessed using various components and scales. The data on subjective well-being was obtained from the World Happiness Report database. The report employs the life ladder scale, in which individuals rate their subjective well-being on a 1–10 scale.
3.Results and Discussion
Various factors influence the subjective well-being of countries, with income emerging as a key determinant that has been extensively studied. However, certain aspects of this relationship remain underexplored. Using income inequality as a threshold factor, the present study examined the nonlinear effect of income on subjective well-being across a sample of 58 countries. Two scenarios were analyzed to address the main research question. The first scenario examined the linear relationship between income and subjective well-being. The findings revealed that income has a positive and significant impact on subjective well-being, whereas income inequality exerts a significantly negative effect.
The second scenario examined the nonlinear relationship using the PSTR model, which extends regime-switching models. The results indicated that while income continues to positively influence subjective well-being, the magnitude of this effect diminishes as income inequality increases.
Drawing on the theory of relative deprivation, the study demonstrated that income inequality significantly affects subjective well-being. Moreover, in line with the tunnel effect theory, it was shown that changes in living conditions (e.g., increasing income inequality) can weaken the positive effect of income on subjective well-being.
At an income inequality threshold of 2.16, the coefficient representing the effect of income on subjective well-being decreases from 0.1 to 0.09. Additionally, the findings from the first scenario confirmed that income inequality has a significantly negative effect on subjective well-being, with a coefficient of -0.058.
4.Conclusion
The study of subjective well-being, alongside economic well-being, has garnered significant attention among economists. In economics, well-being is traditionally assessed through an individual’s capacity to purchase goods and services. However, subjective well-being encompasses a broader range of factors beyond income, focusing on overall quality of life. As a result, governments should consider subjective well-being as a critical aspect of policymaking, given its broader scope and its measurability through subjective and composite indicators. Equally important is addressing the social cost of inadequate subjective well-being. Mental illnesses are a leading cause of pain and suffering, significantly reducing productivity. Strengthening social connections can foster positive psychological effects, which, in turn, improve physical health. Thus, prioritizing subjective well-being could encourage governments to a shift in the reallocation of resources from solely physical health to mental health. In addition, enhancing subjective well-being can help reduce both psychological and physical costs in society. Rising income inequality has been shown to diminish the impact of income on subjective well-being. Consequently, if policymakers aim to promote well-being by fostering national income growth and reducing income inequality, it is essential to recognize that reducing inequality beyond a certain threshold may weaken the positive effect of income on subjective well-being. This suggests that after a certain threshold, governments should prioritize reallocating resources toward other essential needs rather than solely focusing on reducing income inequality.

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Afshari, Z. & Dahmardeh, L. (2014). The impact of poverty, income inequality and human development index on happiness. a panel data approach. Journal of Economic Development Policy, 2(4), 31-59 [In Persian]. doi:10.22051/EDP.2015.2074
Alesina, A., Di Tella, R. & MacCulloch, R. (2004). Inequality and happiness: are Europeans and Americans different? Journal of Public Economics, 88(9–10), 2009–2042. https://doi.org/10.1016/j.jpubeco.2003.07.006
Bartolini, S. & Sarracino, F. (2014). Happy for how long? How social capital and economic growth relate to happiness over time. Ecological Economics, 108, 242-256.
https://doi.org/10.1016/j.ecolecon.2014.10.004
Berg, M. & Veenhoven, R. (2010). Income inequality and happiness in 119 nations: in search for an optimum that does not appear to exist. In B. Greve, (Ed.), Happiness and social policy in Europe (pp. 174–194). Cheltenham:  Edward Elgar.
https://doi.org/10.4337/9781781000731.00017
Blanchflower, D., & Oswald, A. (2003). Does Inequality Reduce Happiness? Evidence from the States of the USA from the 1970s to the 1990s. Mimeographed, Warwick University.
Clark, A. (2003). Inequality-aversion and income mobility: A direct test. Delta. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.180.9125&rep=rep1&type=pdf
Clark, A.E., Frijters, P. & Shields, M.A. (2008). Relative income, happiness, and utility: An explanation for the Easterlin paradox and other puzzles. Journal of Economic literature, 46(1), 95-144. doi:10.1257/jel.46.1.95
Top of Form
Easterlin, R.A. (1974). Does economic growth improve the human lot? Some empirical evidence. In Nations and Households in Economic Growth (pp.    89-125), Academic Press.  
Easterlin, R.A. (1995). Will raising the incomes of all increase the happiness of all? Journal of Economic Behavior & Organization, 27(1), 35-47. https://www.academia.edu/download/76920417/EasterlinIncomesandHappiness.pdf
Easterlin, R.A. (2001). Income and happiness: Towards a unified theory. The Economic Journal, 111(473), 465-484.
https://www.academia.edu/download/49222038/INCOME_AND_HAPPINESS4.pdf
Frey, B.S. & Stutzer, A. (2002). What can economists learn from happiness research? Journal of Economic Literature, 40(2), 402-435. https://edoc.unibas.ch/20762/1/002205102320161320.pdf
Graham, C., & Felton, A. (2005). Does inequality matter to individual welfare? An initial exploration based on happiness surveys from Latin America.
Gonzalez, A., Teräsvirta, T., Van Dijk, D. & Yang, Y. (2017) Panel smooth transition regression models. Working Paper, Uppsala University, SE-751 20 UPPSALA.
https://www.diva-portal.org/smash/get/diva2:1152759/FULLTEXT01.pdf
Gropper, D.M., Lawson, R.A. & Thorne Jr, J.T. (2011). Economic freedom and happiness. Cato J., 31, 237.
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1063.1923&rep=rep1&type=pdf
Hesabi, H., Khorsandi, M., Abbasinejad, H. & Dehghan Shurdand, H. (2015). The effect of environmental performance on happiness: a cross-country analysis. Quarterly Journal of Economical Modeling, 12(42), 49-72 [In Persian]. https://eco.iaufb.ac.ir/article_624509.html?lang=fa
Hirsh, E. D (1976) Validity in Interpretation, Published by: Yale University Press.
Hovi, M. & Laamanen, J.P. (2021). Income, aspirations and subjective well-being: International evidence. Journal of Economic Behavior & Organization, 185, 287-302.
https://doi.org/10.1016/j.jebo.2021.02.030
Inglehart, R. (1997). Modernization and post modernization in 43 societies (pp. 67-107). Princeton university press.
Khorsandi, M. & Azizi, Z. (2015). Estimating the threshold of the impact of unemployment on happiness. Economic Development Policy, 2(3), 59-79 [In Persian]. doi:10.22051/EDP.2016.2525
Kula, M.C., Panday, P. & Mantia, K. (2010). Real GDP, well-being, and happiness. International Journal of Arts and Sciences3(7), 431-443. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.301.9658&rep=rep1&type=pdf
Li, B. & Lu, Y. (2009). Happiness and development: the effect of mental well-being on economic growth.
Lin, C. F. J., & Teräsvirta, T. (1994). Testing the constancy of regression parameters against continuous structural change. Journal of econometrics62(2), 211-228.
Mohamadzadeh, P., Asgharpour, H. & Maniei. O. (2013). The effect of income on labor force happiness in Iran. Journal of Economic Research (Tahghighat-e-Eghtesadi), 48(1), 139-158 [In Persian]. doi:10.22059/JTE.2013.30364
Mohammadianmansor, S., Golkhandan, A., Khansari, M. & Golkhandan, D. (2015). An analysis of socio-economic factors affecting happiness (an econometric analysis with regard to religious restrictions). Journal of Social Development and Welfare Planning, 7(25), 125-163 [In Persian]. doi:10.22054/QJSD.2016.3855
Ngamaba, H.K. (2016). Happiness and life satisfaction in Rwanda. Journal of Psychology in Africa, 26(5), 407–414.
Ngamaba, K.H., Panagioti, M. & Armitage, C.J. (2018). Income inequality and subjective well-being: a systematic review and meta-analysis. Quality of Life Research, 27(3), 577-596.
https://link.springer.com/article/10.1007/s11136-017-1719-x
Nili, F., Babazadeh, K. & Shadkar, M. (2015). Analyzing dependency of subjective well-being in developing countries to macroeconomic factors. Journal of Economic Research (Tahghighat-e-Eghtesadi), 1(5), 21-48. [In Persian]. doi:10.22059/JTE.2015.54095
Oswald, A. J. (1997). Happiness and economic performance. The economic journal, 107(445), 1815-1831.
Pfaff, T. & Hirata, J. (2013). Testing the Easterlin hypothesis with panel data: The dynamic relationship between life satisfaction and economic growth in Germany and in the UK.
https://dx.doi.org/10.2139/ssrn.2268546
PUKElIENĖ, V., & Kisieliauskas, J. (2013). The influence of income on subjective well-being. Applied Economics: Systematic Research7(2).
Runciman, W. G. (1966). Relative deprivation & social justice: Study attitudes social inequality in 20th century England.
           https://doi.org/10.1111/j.1475-4991.2010.00420.x
Ruprah, I.J. & Luengas, P. (2011). Monetary policy and happiness: Preferences over inflation and unemployment in Latin America. The Journal of Socio-Economics40(1), 59-66.
https://doi.org/10.1016/j.socec.2010.08.001
Stevenson, B. & Wolfers, J. (2008). Economic growth and subjective well-being: Reassessing the Easterlin paradox (No. w14282). National Bureau of Economic Research. https://www.nber.org/papers/w14282
Stevenson, B. & Wolfers, J. (2013). Subjective well-being and income: Is there any evidence of satiation? American Economic Review, 103(3), 598-604. https://www.nber.org/system/files/working_papers/w18992/w18992.pdf
Tella, R.D., MacCulloch, R.J. & Oswald, A.J. (2003). The macroeconomics of happiness. Review of Economics and Statistics, 85(4), 809-827. https://doi.org/10.1162/003465303772815745
Di Tella, R., MacCulloch, R. J., & Oswald, A. J. (2001). Preferences over inflation and unemployment: Evidence from surveys of happiness. American economic review, 91(1), 335-341.
             https://doi.org/ 10.1257/aer.91.1.335Top of Form
Veenhoven, R. (1984). Data-book of happiness (p. 22). Boston: Reidel.
Verme, P. (2011). Life satisfaction and income inequality. Review of Income and Wealth57(1), 111-127.
          https://doi.org/10.1111/j.1475-4991.2010.00420.x
Yitzhaki, S. (1979). Relative deprivation and the Gini coefficient. The quarterly journal of economics93(2), 321-324.