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Informing Policy Priorities using Inference from Life Satisfaction Responses in a Large Community Survey

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Abstract

Self-reported, quantitative, subjective measures of well-being, such as satisfaction with life overall, are increasingly looked to as measures of public welfare. While this trend is visible at the international and national government levels, regional initiatives and local communities are particularly important in seeking meaningful measures of the quality of human experience and of the success of local policies. Unlike other approaches in which well-being or progress indices are constructed using arbitrary or expert-generated weights on various domains of life experience, subjective well-being can be used to evaluate empirically the relative importance of specific measurable conditions and experiences in supporting a good life. Using a new, large community well-being survey carried out across the U.S. state of Connecticut, we use this method to evaluate the relationship between life satisfaction and a range of other socioeconomic circumstances and conditions. In support of a broad existing literature, we find enormous effects of security and social engagement as compared with variations in income. We then proceed to consider the prevalence of different socioeconomic conditions, in addition to their relative importance to affected individuals, to make inferences about the benefit-costs of feasible state and local policies. There remain some conditions, like social trust and the perceived responsiveness of local government to the needs of residents, which appear very important to well-being but for which the relationship with targeted resource allocation requires further investigation or policy experimentation.

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References

  • Altman, D., Flavin, P., & Radcliff, B. (2017). Democratic institutions and subjective well-being. Political Studies, 65(3), 685–704.

    Article  Google Scholar 

  • Barrington-Leigh, C. (2016) The role of subjective well-being as an organizing concept for community indicators. In Community Quality of Life and Wellbeing: Best Cases VII, ed. Rhonda Phillips Meg Holden and Chantal Stevens Community Quality-of-Life Indicators (Springer).

  • Barrington-Leigh, C., & Escande, A. (2018). Measuring progress and well-being: A comparative review of indicators. Social Indicators Research, 135(3), 893–925.

    Article  Google Scholar 

  • Bernanke, B. S. (2010) ‘The Economics of Happiness.’ Commencement address: Remarks by Ben S. Bernanke, Chairman, Board of Governors of the Federal Reserve System. Columbia: University of South Carolina.

  • Blanchflower, D. G., Bell, D. N. F., Montagnoli, A., & Moro, M. (2014). The happiness trade-off between unemployment and inflation. Journal of Money, Credit and Banking, 46(S2), 117–141.

    Article  Google Scholar 

  • Cameron, Prime Minister David (2010) A transcript of a speech given by the prime minister on wellbeing on 25 November.

  • Clark, A., Etilé, F., Postel-Vinay, F., Senik, C., & Van der Straeten, K. (2005). Heterogeneity in reported well-being: Evidence from twelve European countries. The Economic Journal, 115(502), 118–132.

    Article  Google Scholar 

  • DataHaven (2016). DataHaven community wellbeing survey. Retrieved from: http://www.ctdatahaven.org/reports/datahaven-community-wellbeing-survey

  • Deaton, A. (2008). Income, health and well-being around the world: evidence from the Gallup World Poll. Journal of Economic Perspectives, 22, 53–72.

    Article  Google Scholar 

  • Diener, E., Ronald Inglehart, R., & Tay, L. (2013). Theory and validity of life satisfaction scales. Social Indicators Research, 112(3), 497–527.

    Article  Google Scholar 

  • Dolan, P., & Metcalfe, R. (2012). Measuring subjective wellbeing: recommendations on measures for use by national governments. Journal of Social Policy, 41(2), 409–427.

    Article  Google Scholar 

  • Dolan, P., & White, MP. (2007). How can measures of subjective well-being be used to inform public policy? Perspectives on Psychological Science 2(1), 71–85.

  • Dolan, P., Peasgood, T., & White, M. (2008). Do we really know what makes us happy? A review of the economic literature on the factors associated with subjective well-being. Journal of Economic Psychology, 29(1), 94–122.

    Article  Google Scholar 

  • Donovan, N., Halpern, D., & Sargeant, R. (2002) Life satisfaction: The state of knowledge and implications for government (London: Cabinet Office Strategy Unit).

  • Easterlin, R. A. (2013). Happiness, growth, and public policy. Economic Inquiry, 51(1), 1–15.

    Article  Google Scholar 

  • Esaiasson, P., Gilljam, M., & Persson, M. (2017). Responsiveness beyond policy satisfaction: Does it matter to citizens? Comparative Political Studies, 50(6), 739–765.

    Article  Google Scholar 

  • Exton, C., Smith, C., & Vandendriessche, D. (2015). Comparing happiness across the world: Does culture matter? Paris: OECD Statistics Working Papers.

    Google Scholar 

  • Fleche, S., & Layard, R. (2017). Do more of those in misery suffer from poverty, unemployment, or mental illness? Kyklos International Review for Social Sciences, 70(1), 27–41.

    Google Scholar 

  • Frey, B. S., & Stutzer, A. (2002). What Can Economists Learn from Happiness Research? Journal of Economic Literature, 40(2), 402–435.

    Article  Google Scholar 

  • Frongillo, E. A., Nguyen, H. T., Smith, M. D., & Coleman-Jensen, A. (2017). Food insecurity is associated with subjective well-being among individuals from 138 countries in the 2014 gallup world poll. The Journal of Nutrition, 147(4), 680–687.

    Article  Google Scholar 

  • Hall, J., Barrington-Leigh, C., & Helliwell, J. (2011). Cutting through the Clutter: Searching for an Over-Arching Measure of Well-Being. DICE Report, 8(4), 8–12.

    Google Scholar 

  • Helliwell, J. F. (2011). Institutions as enablers of wellbeing: The Singapore prison case study. International Journal of Wellbeing, 1(2), 255–265. https://doi.org/10.5502/ijw.v1i2.7.

    Article  Google Scholar 

  • Helliwell, J., & Barrington-Leigh, C. (2010). Measuring and Understanding Subjective Well-Being. Canadian Journal of Economics, 43(3), 729–753.

    Article  Google Scholar 

  • Helliwell, J., Barrington-Leigh, C., Harris, A., & Huang, H. (2010). International evidence on the social context of well-being. In E. Diener, J. Helliwell, & D. Kahneman (Eds.), International Differences in Well-Being (pp. 213–229). New York: Oxford University Press.

    Google Scholar 

  • Helliwell, J., & Huang, H. (2008). How’s your government? International evidence linking good government and wellbeing. British Journal of Political Science, 38, 595–619.

    Article  Google Scholar 

  • Helliwell, J., & Huang, H. (2014). New measures of the costs of unemployment: Evidence from the subjective well-being of 3.3 million Americans. Economic Inquiry, 52(4), 1485–1502.

    Article  Google Scholar 

  • Helliwell, J., Layard, R., & Sachs, J. (2012). World happiness report. New York: Earth Institute. http://worldhappiness.report/ed/2012/.

  • Helliwell, J., Layard, R., & Sachs, J. (2013). World happiness report 2013. New York: Sustainable Development Solutions Network. http://worldhappiness.report/ed/2013/.

    Google Scholar 

  • Helliwell, J., Layard, R., & Sachs, J. (2015). World happiness report 2015. New York: Sustainable Development Solutions Network. http://worldhappiness.report/ed/2015/.

  • Jaskiewicz, M., & Besta, T. (2014). Is easy access related to better life? Walkability and overlapping of personal and communal identity as predictors of quality of life. Applied Research in Quality of Life, 9, 505–516.

    Article  Google Scholar 

  • Lau, A., Robert Cummins, R., & Mcpherson, W. (2005). An Investigation into the Cross-Cultural Equivalence of the Personal Wellbeing Index. Social Indicators Research, 72(3), 403–430.

    Article  Google Scholar 

  • Layard, R. (1980). Human satisfactions and public policy. The Economic Journal, 90(360), 737–750.

    Article  Google Scholar 

  • Layard, R. (2006). Happiness and public policy: a challenge to the profession. The Economic Journal, 116(510), 24–33.

    Article  Google Scholar 

  • Mikucka, M., Sarracino, F., & Dubrow, J. K. (2017). When does economic growth improve life satisfaction? multilevel analysis of the roles of social trust and income inequality in 46 countries, 1981–2012. World Development, 93, 447–459.

    Article  Google Scholar 

  • Ng, Y.-K., & Ho, L. S. (2006). Introduction: Happiness as the only ultimate objective of public policy. In Happiness and public policy (pp. 1–16). London: Palgrave Macmillan. https://doi.org/10.1057/9780230288027_1.

    Chapter  Google Scholar 

  • Ngamaba, K. H., Panagioti, M., & Armitage, C. J. (2017). How strongly related are health status and subjective well-being? systematic review and meta-analysis. European Journal of Public Health, 27(5), 879–885.

    Article  Google Scholar 

  • O’Donnell, G., & Oswald, A. J. (2015). National well-being policy and a weighted approach to human feelings. Ecological Economics, 120, 59–70.

    Article  Google Scholar 

  • OECD. (2013). OECD Guidelines on measuring subjective well-being. Paris: OECD Publishing.

    Book  Google Scholar 

  • Radcliff, B., & Shufeldt, G. (2016). Direct democracy and subjective wellbeing: The initiative and life satisfaction in the American states. Social Indicators Research, 128(3), 1405–1423.

    Article  Google Scholar 

  • Stiglitz, J. E., Sen, A., & Fitoussi, J. P. (2009). Report by the Commission on the measurement of economic performance and social progress. Paris: Commission on the Measurement of Economic Performance and Social Progress.

    Google Scholar 

  • Stone, A., Mackie, C., et al. (2014). Subjective well-being: Measuring happiness, suffering, and other dimensions of experience. Washington, D.C.: National Academies Press.

    Google Scholar 

  • UK Office of National Statistics (2011) National statistician’s reflections on the national debate on measuring national well-being. eprint: www.ons.gov.uk

  • United States Census Bureau (2017) Quick facts: Connecticut. Retrieved from: https://www.census.gov/quickfacts/table/PST045216/09

  • United States Department of Agriculture (2017) Official USDA food plans: Cost of food at home at four levels, U.S. average, March 2017. Retrieved from: https://www.cnpp.usda.gov/USDAFoodPlansCostofFood

  • Vigoda, E. (2000). Are you being served? The responsiveness of public administration to citizens’ demands: an empirical examination in Israel. Public Administration, 78, 165–191.

    Article  Google Scholar 

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Acknowledgements

We are grateful to Mark Abraham and Datahaven for providing data and for helpful discussions at every stage of the work. This work was supported by the Social Sciences and Humanities Research Council of Canada (grant 435-2016-0531).

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Authors and Affiliations

  1. McGill Institute for Health and Social Policy, McGill University, Montreal, Canada

    Christopher Barrington-Leigh

  2. Department of Geography, McGill University, Montreal, Canada

    Jan T. Wollenberg

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  1. Christopher Barrington-Leigh
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  2. Jan T. Wollenberg
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Barrington-Leigh, C., Wollenberg, J.T. Informing Policy Priorities using Inference from Life Satisfaction Responses in a Large Community Survey. Applied Research Quality Life 14, 911–924 (2019). https://doi.org/10.1007/s11482-018-9629-9

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