Magaña, Diego (2023): Diferencias de género en el bienestar de los adultos en el Reino Unido (2014-15).
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Abstract
This study examines the relationship between time allocation and well-being in UK adults, taking into account factors such as gender, health, presence of company and being at home. In a context of significant changes in population behaviors and recent technological advances, investigating this relationship becomes increasingly relevant and necessary. The objective is to understand how the distribution of time influences subjective well-being at an individual and social level. For this, an empirical approach is used that combines time theory and well-being, using data from the United Kingdom Time Use Survey (UKTUS, 2014-15). An ordinary least squares regression model is used, controlling demographic and socioeconomic variables. The results reveal that time spent on childcare and leisure is positively associated with well-being, while travel and paid work are associated with lower levels of well-being. Health and companionship during activities also play an important role in well-being. Furthermore, we found that unpaid work done at home is one of the main sources of gender differences. These findings support the importance of policies that encourage a healthy balance in daily life and provide an empirical basis for informed decisions about time use. Furthermore, at a social level, they can support the formulation of public policies aimed at improving work-life balance, child care and access to recreational and social activities.
Item Type: | MPRA Paper |
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Original Title: | Diferencias de género en el bienestar de los adultos en el Reino Unido (2014-15) |
English Title: | Gender Differences in Adult Wellbeing in the United Kingdom (2014-15) |
Language: | Spanish |
Keywords: | Género, Uso del tiempo, Bienestar, UKTUS |
Subjects: | D - Microeconomics > D1 - Household Behavior and Family Economics > D13 - Household Production and Intrahousehold Allocation I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I31 - General Welfare, Well-Being J - Labor and Demographic Economics > J1 - Demographic Economics > J16 - Economics of Gender ; Non-labor Discrimination J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J22 - Time Allocation and Labor Supply |
Item ID: | 118560 |
Depositing User: | Diego Magaña Inostroza |
Date Deposited: | 11 Sep 2023 15:53 |
Last Modified: | 11 Sep 2023 15:53 |
References: | Aguiar, M., & Hurst, E. (2007). Measuring trends in leisure: The allocation of time over five decades. Quarterly Journal of Economics, 115(3), 969-1006. Adena, M., Hamermesh, D., Myck, M., et al. (2023). Home Alone: Widows’ Well-Being and Time. Journal of Happiness Studies, 24, 813-838. Adrjan, P., et al. (2021). Will it stay or will it go? Analysing developments in telework during COVID-19 using online job postings data. OECD Productivity Working Papers, No. 30. OECD Publishing. Altintas, E., & Sullivan, O. (2016). Fifty years of change updated: Cross-national gender convergence in housework. Demographic Research, 35(16), 455-470. Ammons, S., & Markham, W. (2010). Working at home: Experiences of skilled white collar workers. Sociological Spectrum, 24, 191-238. Anderson, A., Kaplan, S. and Vega, R. (2015). The impact of telework on emotional experience: when, and for whom, does telework improve daily affective well-being? European Journal of work and Organizational Psychology, 24 (6), 882-897 Becker, G. S. (1964). Human Capital. New York, USA: Columbia University Press. Becker, G. S. (1965). A Theory of the Allocation of Time. The Economic Journal. Vol. 75, No. 299 (Sep., 1965), pp. 493-517 (25 pages). Published By: Oxford University Press. Belanger, F. (1999). Workers’ propensity to telecommute: an empirical study. Information & Management, 35 (3), 139-153. Bush, K. M. (2018). Communication technology use and well-being: Does less screen time lead to greater happiness? EWU Masters Thesis Collection, 537. Clark, A. E., Diener, E., Georgellis, Y., & Lucas, R. E. (2008). Lags and leads in life satisfaction: A test of the baseline hypothesis. The Economic Journal, 118(529), F222-F243. Chiappori, P.A. and Meghir, C. (2015), Intrahousehold inequality, in Atkinson, A.B. and Bourguignon, F. (Eds), Handbook of Income Distribution, Vol. 2, Elsevier, Amsterdam, pp. 1369-1418. Dargay, J.M. and Clark, S. (2012), The determinants of long distance travel in Great Britain, Transportation Research Part A: Policy and Practice, Vol. 46 No. 3, pp. 576-587. Deaton, A. (2008). Income, health, and well-being around the world: Evidence from the Gallup World Poll. Journal of Economic Perspectives, 22(2), 53-72. Dockery, A. M., & Bawa, S. (2017). When two worlds collude: Working from home and family functioning. International Labour Review, Forthcoming. Gimenez-Nadal, J. I., & Sevilla, A. (2012). Trends in time allocation: A cross-country analysis. European Economic Review, 56(7), 1338-1359. Gimenez-Nadal, J. I., Molina, J. A., & Ortega, J. (2012). Self-employed mothers and the work-family conflict. Applied Economics, 44(17), 2133-2147. Gimenez-Nadal, J.I., Ortega, R. (2013). Health status and time allocation in Spain. Appl. Econ. Lett., 20 (2013), pp. 1435-1439. Gimenez-Nadal, J. I., & Molina, J. A. (2015). Health status and the allocation of time: Cross-country evidence from Europe. Economic Modelling, 46, 188-203. Gimenez-Nadal, J.I., Molina, J.A. and Velilla, J. (2018), The commuting behavior of workers in the United States: differences between the employed and the self-employed, Journal of Transport Geography, Vol. 66 No. 1, pp. 19-29. Gimenez-Nadal, J. I., & Molina, J. A. (2019). Daily feelings of US workers and commuting time, Journal of Transport & Health, Volume 12, 2019, Pages 21-33, ISSN 2214-1405. Gimenez-Nadal, J. I., Molina, J. A., & Velilla, J. (2020). Should We Cheer Together? Gender Differences in Instantaneous Well-Being during Joint and Solo Activities. IZA Discussion Paper, 13306. Giménez-Nadal, J.I., Molina, J.A. and Velilla, J. (2020), Work time and well-being for workers at home: evidence from the American Time Use Survey, International Journal of Manpower, Vol. 41 No. 2, pp. 184-206. Gimenez-Nadal, J.I. and Molina, J.A. (2015), Voluntary Activities And Daily Happiness In The United States. Econ Inq, 53: 1735-1750. Gimenez-Nadal, Jose Ignacio and Velilla, Jorge (2020): Home-based work, time endowments, and subjective well-being: Gender differences in the United Kingdom. Gracia, P., & Esping-Andersen, G. (2015). Fathers’ child care time and mothers’ paid work: A cross-national study of Denmark, Spain, and the United Kingdom. Family Science, 6(1), 270-281. Grossman, M. (1972). On the concept of health capital and the demand for health. J. Polit. Econ., 80 (1972), pp. 223-255. Helliwell, J. F., & Putnam, R. D. (2005). The social context of well-being. In F. Huppert, Beylis, N., & Keverne, B. (Eds), The Science of Well-Being, ch. 17. Oxford University Press Hilbrecht, M., Shaw, S., Johnson, L., & Andrey, J. (2008). I’m home for the kids: Contradictory implications for work–life balance of teleworking mothers. Gender, Work and Organization, 15, 454-476. Kahneman, D., Krueger, A. B., Schkade, D., Schwarz, N., & Stone, A. (2004). A survey method for characterizing daily life experience: The day reconstruction method. Science, 306(5702), 1776-1780. Konradt, U., Hertel, G. and Schmook, R. (2003). Effects of management by objectives on perceived stress and job-satisfaction of teleworkers. European Journal of Work and Organizational Psychology, 12, 61-80 Kossek, E., Lautsch, B. and Eaton, S. (2006). Telecommuting, control, and boundary management: correlates of policy use and practice, job control, and work–family effectiveness. Journal of Vocational Behavior, 68 (2), 347-367 Mann, S., & Holdsworth, L. (2003). The psychological impact of teleworking: Stress, emotions and health. New Technology, Work and Employment, 18(3), 196-211. McQuaid, R.W. and Chen, T. (2012), Commuting times: the role of gender, children and part-time work, Research in Transportation Economics, Vol. 34 No. 1, pp. 66-73. OECD (2021). OECD Employment Outlook 2021: Navigating the COVID-19 Crisis and Recovery. Paris: OECD Publishing. Pallavi Singh, Hillol Bala, Bidit Lal Dey, Raffaele Filieri. (2022). Enforced remote working: The impact of digital platform-induced stress and remote working experience on technology exhaustion and subjective wellbeing. Journal of Business Research, 151, 269-286. Podor, M., Halliday, T.J. (2012). Health status and the allocation of time. Health Econ., 21 (2012), pp. 514-527 Radchenko, N. (2016), Welfare sharing within households: identification from subjective well-being data and the collective model of labor supply, Journal of Family and Economic Issues, Vol. 37 No. 2, pp. 254-271. Roeters, A., & Gracia, P. (2016). Child Care Time, Parents' Well-Being, and Gender: Evidence from the American Time Use Survey. Journal of Child and Family Studies, 25, 2469-2479. Sandow, E. and Westin, K. (2010), People’s preferences for commuting in sparsely populated areas: the case of Sweden, Journal of Transport and Land Use, Vol. 2 Nos 3/4, pp. 87-107 Sevilla, A., Gimenez-Nadal, J. I., & Fernández, C. (2010). Gender roles and the division of unpaid work in Spanish households. Feminist Economics, 16(4), 137-184. Sevilla, A., Gimenez-Nadal, J. I., & Gershuny, J. (2012). Leisure inequality in the United States: 1965–2003. Demography, 49(3), 939–964. Sullivan, O. (1996a). Time co-ordination, the domestic division of labour and affective relations: Time use and the enjoyment of activities within couples. Sociology, 30(1), 79–100. Verduyn, P., Ybarra, O., Résibois, M., Jonides, J., & Kross, E. (2017). Do social network sites enhance or undermine subjective well-being? A critical review. Journal of Computer-Mediated Communication, 22(6), 267-277. Waizenegger, L., McKenna, B., Cai, W., & Bendz, T. (2020). An affordance perspective of team collaboration and enforced working from home during COVID-19. European Journal of Information Systems, 29(4), 429-442. Zhao SZ, Guo N, Wang MP, Fong DYT, Lai AYK, Chan SS, Lam TH, Ho DSY. (2020). The Association Between Electronic Device Use During Family Time and Family Well-Being: Population-Based Cross-Sectional Study. Journal of Medical Internet Research, 22(10), e20529. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/118560 |