Wellbeing determinants of household’s ability to make ends meet – A hierarchical regression model for Abu Dhabi
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Ability to make ends meet, Financial capability, Households, Well-being, COVID-19 , Abu Dhabi
Abstract
The purpose of this study is to explore the key factors influencing the ability of households in Abu Dhabi to maintain a subsistence standard of living, particularly focusing on how various socio-demographic and well-being determinants impact this ability. The study utilizes data from 38,124 employed heads of households who participated in the Abu Dhabi Quality-of-Life (QoL) survey conducted in 2021. A hierarchical regression model was applied to analyze the relationships between the ability to make ends meet and a range of independent variables while controlling for specific household and individual characteristics. The findings reveal that satisfaction with household income, the ability to save from previous earnings, and work-family balance are the most significant determinants of a household’s ability to make ends meet. Additionally, the education level of the head of the household and the presence of a financial plan also play crucial roles. The results suggest that while the hierarchical regression model offers valuable insights, it does not fully capture the directional relationships between the variables, indicating the need for further research. In conclusion, the study highlights the importance of income satisfaction, financial planning, and work-life balance in helping households achieve financial stability. The implications for policymakers include the need to develop targeted strategies that enhance financial literacy, support income satisfaction, and promote work-life balance to improve the overall well-being of households in Abu Dhabi. Future research should consider a longitudinal approach to better understand the causal relationships between these factors and the ability to make ends meet.
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References
Albuquerque, B., & Green, G. (2022). Financial concerns and the marginal propensity to consume in COVID times: Evidence from UK survey data. IMF Working Paper WP/22/47. Washington, DC: International Monetary Fund. https://doi.org/10.2139/ssrn.4083119
Alexander, S. (2015). Prosperous decent: Crisis as an opportunity in an age of limits. Melbourne: Simplicity Institute.
Appleton, S., & Song, L. (2008). Life satisfaction in urban China: Components and determinants. World Development, 36(11), 2325-2340. https://doi.org/10.1016/j.worlddev.2008.04.009
Artazcoz, L., Cortès-Franch, I., Escribà-Agüir, V., & Benavides, F. G. (2021). Financial strain and health status among European workers: Gender and welfare state inequalities. Frontiers in Public Health, 9, 616191. https://doi.org/10.3389/fpubh.2021.616191
Atkinson, A., McKay, S., Kempson, E., & Collard, S. (2006). Levels of financial capability in the UK: Results of a baseline survey. London: Financial Services Authority.
Blanchflower, D., & Clark, A. (2020). Children, unhappiness and family finances. Journal of Population Economics, 34, 625-653. https://doi.org/10.1007/s00148-020-00798-y
Buddelmeyer, H., Hamermesh, D. S., & Wooden, M. (2018). The stress cost of children on moms and dads. European Economic Review, 109, 148-161. https://doi.org/10.1016/j.euroecorev.2016.12.012
Cattaneo, M. D., Galiani, S., Gertler, P. J., Martinez, S., & Titiunik, R. (2009). Housing, health and happiness. American Economic Journal: Economic Policy, 1(1), 75-105. https://doi.org/10.1257/pol.1.1.75
Cetre, S., Clark, A. E., & Senik, C. (2016). Happy people have children: Choice and self-selection into parenthood. European Journal of Population, 32(3), 445-473. https://doi.org/10.1007/s10680-016-9389-x
Bureau, C. F. P. (2020). Insights from the Making Ends Meet Survey. Retrieved on May 1st, 2022, from https://files.consumerfinance.gov/f/documents/cfpb_making-ends-meet_survey-results_2020-07.pdf
Coote, A., Harper, A., & Stirling, A. (2021). The case for a four day week. Cambridge: Polity Press.
Danziger, S., Heflin, C., Corcoran, M., Oltmans, E., & Wang, H. (2002). Does it pay to move from welfare to work? Journal of Policy Analysis and Management, 21(4), 671-692. https://doi.org/10.1002/pam.10080
Devaney, S. A., Anong, S. T., & Whirl, S. E. (2007). Household savings motives. Journal of Consumer Affairs, 41(1), 174-186. https://doi.org/10.1111/j.1745-6606.2006.00073.x
Diener, E., & Ng, W. (2010). Wealth and happiness across the world: Material prosperity predicts life evaluation, whereas psychosocial prosperity predicts positive feeling. Journal of Personality and Social Psychology, 99(1), 52-61. https://doi.org/10.1037/a0018066
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. https://doi.org/10.1016/j.joep.2007.09.001
Drentea, P. (2000). Age, debt and anxiety. Journal of Health and Social Behavior, 41(4), 437-450. https://doi.org/10.2307/2676296
Eurofound. (2020). European Quality of Life Survey (EQLS). Retrieved on May 11th, 2022, from https://www.src.isr.umich.edu/international/european-quality-of-life-survey-eqls/
Eurostat. (2021). Methodological guidelines and description of EU-SILC target variables. Retrieved on March 10th, 2022, from https://circabc.europa.eu/sd/a/f8853fb3-58b3-43ce-b4c6-a81fe68f2e50/Methodological%20guidelines%202021%20operation%20v4%2009.12.2020.pdf
Fitch, C., Hamilton, S., Bassett, P., & Davey, R. (2011). The relationship between personal debt and mental health: A systematic review. Mental Health Review Journal, 16(4), 153-166. https://doi.org/10.1108/13619321111202313
Fujiwara, D., & Campbell, R. (2011). Valuation techniques for social cost-benefit analysis: Stated preference, revealed preference and subjective well-being approaches. London: HM Treasury & Department for Work and Pensions.
Gallup. (2017). Americans' financial anxieties ease in 2017. Retrieved August 21st, 2018, from https://news.gallup.com/poll/210890/americans-financial-anxietiesease-2017.aspx
Gallup. (2018). Gallup daily: Worried about money. Retrieved August 21st, 2018, from https://news.gallup.com/poll/180665/gallup-daily-worried-money.aspx
Gallup. (2021). Gallup global well-being. Retrieved on January 25th, 2022, from https://news.gallup.com/file/poll/126965/GlobalWellbeing_Rpt_POLL_0310_lowres.pdf
Gardner, J., & Oswald, A. J. (2007). Money and mental well-being: A longitudinal study of medium-sized lottery wins. Journal of Health Economics, 26(1), 49-60. https://doi.org/10.1016/j.jhealeco.2006.08.004
Gathergood, J. (2012). Debt and depression: Causal links and social norm effects. The Economic Journal, 122(563), 1094-1114. https://doi.org/10.1111/j.1468-0297.2012.02519.x
Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. New York: Cambridge University Press. https://doi.org/10.32614/CRAN.package.arm
Gjertson, L. (2016). Emergency saving and household hardship. Journal of Family and Economic Issues, 37(1), 1-17. https://doi.org/10.1007/s10834-014-9434-z
Gray, A. (2009). The social capital of older people. Ageing & Society, 29(1), 5-31. https://doi.org/10.1017/S0144686X08007617
Gumà-Lao, J. (2022). The influence of economic factors on the relationship between partnership status and health: A gender approach to the Spanish case. International Journal of Environmental Research and Public Health, 19(6), 2975. https://doi.org/10.3390/ijerph19052975
Hardy, B., & Ziliak, J. P. (2014). Decomposing trends in income volatility: The "wild ride" at the top and bottom. Economic Inquiry, 52(1), 459-476. https://doi.org/10.1111/ecin.12044
Haushofer, J., & Shapiro, J. (2016). The short-term impact of unconditional cash transfers to the poor: Experimental evidence from Kenya. The Quarterly Journal of Economics, 131(4), 1973-2042. https://doi.org/10.1093/qje/qjw025
He, M., Cabrera, N., Renteria, J., Chen, Y., Alonso, A., McDorman, S. A., Kerlow, M. A., & Reich, S. M. (2021). Family functioning in the time of COVID-19 among economically vulnerable families: Risks and protective factors. Frontiers in Psychology, 12, 730447. https://doi.org/10.3389/fpsyg.2021.730447
Hébert, S., & Gyarmati, D. (2014). Financial capability and essential skills: An exploratory analysis. The Social Research and Demonstration Corporation. Retrieved on April 25th, 2022, from https://www.srdc.org/media/199762/financial-capability-and-es-report.pdf
Heflin, C. (2016). Family instability and material hardship: Results from the 2008 survey of income and program participation. Journal of Family and Economic Issues, 37(3), 359-372. https://doi.org/10.1007/s10834-016-9503-6
Helliwell, J. F., Layard, R., Sachs, J. D., & De Neve, J.-E. (Eds.). (2020). World happiness report 2020. New York: Sustainable Development Solutions Network. https://worldhappiness.report/ed/2020/
IBM Corp. (2020). IBM SPSS Statistics for Windows, Version 27.0. Armonk, NY: IBM Corp.
International Labor Office (ILO). (2011). Work-life balance. Retrieved on May 12th, 2022, from https://www.ilo.org/wcmsp5/groups/public/---ed_norm/---relconf/documents/meetingdocument/wcms_163642.pdf
Johar, G., Meng, R., & Wilcox, K. (2015). Thinking about financial deprivation: Rumination and decision making among the poor. Advances in Consumer Research, 43, 208-211. Retrieved from https://www.acrwebsite.org/volumes/1020157/volumes/v43/NA-43
Kahneman, D., & Deaton, A. (2010). High income improves evaluation of life but not emotional well-being. Proceedings of the National Academy of Sciences, 107(38), 16489-16493. https://doi.org/10.1073/pnas.1011492107
Kempson, E., Collard, S., & Moore, N. (2005). Measuring financial capability: An exploratory study. London: Financial Services Authority.
King, J. (2022). Financial conversations with family. Wealth Planning. Retrieved on May 9th, 2022, from https://www.fiduciary-trust.com/insights/financial-conversations-with-family/
Linander, I., Hammarström, A., & Johansson, K. (2015). Which socio-economic measures are associated with psychological distress for men and women? A cohort analysis. European Journal of Public Health, 25(2), 231-236. https://doi.org/10.1093/eurpub/cku137
Lohmann, H. (2009). Welfare states, labour market institutions and the working poor: A comparative analysis of 20 European countries. European Sociological Review, 25(4), 489-504. https://doi.org/10.1093/esr/jcn064
Lowney, M., Abrashkin, W., Fuller, S., & Geary, M. (2013). Breaking the cycle of disadvantage for public housing residents. Journal of Housing and Community Development, 70(1), 16-27. Retrieved from http://sites.keene.edu/geography/files/2015/05/2014SeminarFinalReport_Housing.pdf
Lyubomirsky, S., Tucker, K. L., Caldwell, N. D., & Berg, K. (1999). Why ruminators are poor problem solvers: Clues from the phenomenology of dysphoric rumination. Journal of Personality and Social Psychology, 77(5), 1041-1060. https://doi.org/10.1037/0022-3514.77.5.1041
Mack, A. (2016). Gender differences in evaluation of economic position of households and their implications for the assessment of EU policy indicators in the EU-SILC. Working Paper. Retrieved in April 2022 from https://www.researchgate.net/publication/313505719
Mani, A., Mullainathan, S., Shafir, E., & Zhao, J. (2013). Poverty impedes cognitive function. Science, 341(6149), 976-980. https://doi.org/10.1126/science.1238041
Marjanovic, Z., Greenglass, E. R., Fiksenbaum, L., & Bell, C. M. (2013). Psychometric evaluation of the Financial Threat Scale (FTS) in the context of the great recession. Journal of Economic Psychology, 36(1), 1-10. https://doi.org/10.1016/j.joep.2013.02.005
Marjanovic, Z., Greenglass, E. R., Fiksenbaum, L., De Witte, H., Garcia-Santos, F., Buchwald, P., Peiró, J. M., & Mañas, M. A. (2015). Evaluation of the Financial Threat Scale (FTS) in four European, non-student samples. Journal of Behavioral and Experimental Economics, 55(1), 72-80. https://doi.org/10.1016/j.socec.2014.12.001
McInerney, M., Mellor, J. M., & Nicholas, L. H. (2013). Recession depression: Mental health effects of the 2008 stock market crash. Journal of Health Economics, 32(6), 1090-1104. https://doi.org/10.1016/j.jhealeco.2013.09.002
McKay, S. (2011). Understanding financial capability in Canada: Analysis of the Canadian Financial Capability Survey. University of Birmingham. Retrieved on March 25th, 2022, from http://financialliteracyincanada.com/documents/consultation-2/McKay-09-02-2011-eng.pdf
Menard, S. (2001). Applied logistic regression analysis (2nd ed.). SAGE Publications, Inc. https://doi.org/10.4135/9781412983433
Netemeyer, R. G., Warmath, D., Fernandes, D., & Lynch, J. G. (2018). How am I doing? Perceived financial well-being, its potential antecedents, and its relation to overall well-being. Journal of Consumer Research, 45(1), 68-89. https://doi.org/10.1093/jcr/ucx109
Nolen-Hoeksema, S., & Davis, R. N. (2000). Cognitive inflexibility among ruminators and non-ruminators. Cognitive Therapy and Research, 24(6), 699-711. https://doi.org/10.1023/A:1005591412406
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400-424. https://doi.org/10.1111/j.1745-6924.2008.00088.x
Organisation for Economic Co-operation and Development (OECD). (2020). Measuring well-being and progress. Retrieved on April 5th, 2022, from https://www.oecd.org/sdd/OECD-Better-Life-Initiative.pdf
Organisation for Economic Co-operation and Development (OECD). (2021). Risks that matter 2020: The long reach of COVID-19. Retrieved on April 5th, 2022, from https://www.oecd.org/coronavirus/policy-responses/risks-that-matter-2020-the-long-reach-of-covid-19-44932654/
Organisation for Economic Co-operation and Development (OECD). (2022). Financial literacy and inclusion: Results of OECD/INFE survey across countries and by gender. Retrieved on May 3rd, 2022, from https://www.oecd.org/daf/fin/financial-education/TrustFund2013_OECD_INFE_Fin_Lit_and_Incl_SurveyResults_by_Country_and_Gender.pdf
Paiva, A., Cunha, C., Voss, G., & Delerue Matos, A. (2021). The interrelationship between social connectedness and social engagement and its relation with cognition: A study using SHARE data. Ageing and Society, 41(1), 1-19. https://doi.org/10.1017/S0144686X2100129X
Persson, O., Larsson, J., & Nässén, J. (2022). Working less by choice: What are the benefits and hardships? Sustainability, 18(1), 81-96. https://doi.org/10.1080/15487733.2021.2023292
Pevalin, D., Taylor, M., & Todd, J. (2008). The dynamics of unhealthy housing in the UK: A panel data analysis. Housing Studies, 23(5), 679-695. https://doi.org/10.1080/02673030802253848
Pew Research Center. (2020). Economic fallout from COVID-19 continues to hit lower income Americans the hardest. Retrieved on April 2nd, 2022, from https://www.pewresearch.org/social-trends/wp-content/uploads/sites/3/2020/09/SDT_2020.09.24_COVID-19-Personal-Finances_FINAL.update2.pdf
Pew Research Center. (2021). A year into the pandemic, long-term financial impact weighs heavily on many Americans. Retrieved on April 2nd, 2022, from https://www.pewresearch.org/social-trends/wp-content/uploads/sites/3/2021/03/PSD_03.05.21.covid_.impact_fullreport.pdf
Pohlig, M., Israel, S., & Dingeldey, I. (2020). Does the household context matter for job satisfaction among low-wage workers? Economic and Industrial Democracy. https://doi.org/10.1177/0143831X20975865
Pollmann-Schult, M., & Li, J. (2020). Introduction to the Special Issue "Parental work and family/child well-being". Journal of Family Research, 32(2), 177-191. https://doi.org/10.20377/jfr-422
Schwandt, H. (2018). Wealth shocks and health outcomes: Evidence from stock market fluctuations. American Economic Journal: Applied Economics, 10(4), 349-377. https://doi.org/10.1257/app.20140499
Social Research and Demonstration Corporation (SRDC). (2014). Financial capability and essential skills: An exploratory analysis. Retrieved on 11th May 2022 from https://www.canada.ca/content/dam/canada/financial-consumer-agency/migration/eng/resources/researchsurveys/documents/fincapessskill-capfincompess-eng.pdf
Tilly, L. (2012). Having friends - they help you when you are stuck from money, friends and making ends meet research group. British Journal of Learning Disabilities, 40(2), 128-133. https://doi.org/10.1111/j.1468-3156.2012.00739.x
Tobe, E., Ames, B. D., & Carolan, M. (2016). Looking back: The experiences of four Midwest families after receiving foreclosure counseling services. Journal of Family and Economic Issues, 37(3), 383-394. https://doi.org/10.1007/s10834-016-9495-2
Tur-Sinai, A., Paz, A., & Doron, I. (2022). Self-rated health and socioeconomic status in old age: The role of gender and the moderating effect of time and welfare regime in Europe. Sustainability, 14(7), 4240. https://doi.org/10.3390/su14074240
Turunen, E., & Hiilamo, H. (2014). Health effects of indebtedness: A systematic review. BMC Public Health, 14(1), 489. https://doi.org/10.1186/1471-2458-14-489
van Praag, B. M. S., Hagenaars, A. J. M., & van Weern, H. (1982). Poverty in Europe. The Review of Income and Wealth, 28(3), 345-359. https://doi.org/10.1111/j.1475-4991.1982.tb00621.x
Vittinghoff, E., Glidden, D. V., Shiboski, S. C., & McCulloch, C. E. (2011). Regression methods in biostatistics: Linear, logistic, survival, and repeated measures models (2nd ed.). Springer. https://doi.org/10.1007/978-1-4614-1353-0
Wardrip, K., Williams, L., & Hague, S. (2011). The role of affordable housing in creating jobs and stimulating local economic development: A review of literature. York: Center for Housing Policy.
West, S., Banerjee, M., Phipps, B., & Friedline, T. (2017). Coming up short: Family composition, income, and household savings. Journal of the Society for Social Work and Research, 8(3), 355-377. https://doi.org/10.1086/693047
Whelan, C. T., & Maître, B. (2012). Understanding material deprivation in Europe: A multilevel analysis. Research in Social Stratification and Mobility, 30(4), 489-503. https://doi.org/10.1016/j.rssm.2012.05.001
Woodford, M. (2018). Monetary policy analysis when planning horizons are finite. NBER Working Paper 24692. Cambridge, MA: National Bureau of Economic Research. https://doi.org/10.3386/w24692
Želinský, T. (2021). Subjective well-being, income, and ethnicity in Slovakia. Journal of Poverty, 24(3), 271-296. https://doi.org/10.1080/10875549.2021.1910104
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Copyright (c) 2022 Masood Badri, Hamad Aldhaheri, Mugheer Alkhaili, Guang Yang, Muna Albahar, Asma Alrashdi, Alanoud Alsawai
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