Factors Influencing the Decision to Extend Working Life: A Case Study of Thailand
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Abstract
The changes in the population structure have led Thailand to become an aged society since 2005. Thailand’s old-age dependency ratio (64+ per 15-64) increased from 5.44 percent in 1965 to 20.97 percent in 2023. Utilizing the 2018-2023 data from Thailand’s National Labor Force Survey, this paper examines the factors influencing the decision to remain in the labor force, focusing on individuals aged 55-80 years old using Beehr’s framework. Retirement is defined as the individual leaving the labor force with the intention to stay out permanently (Lazear, 1986). The logistic regression model shows that geographic regions, age, gender, education, marital status, and the position of family members in the co-residence composition influence an individual’s decision to remain in the labor force. Males have a significantly higher propensity to remain in the labor force compared to females. Married or single individuals have a significantly higher propensity to remain in the labor force. Individuals whose highest educational attainment was primary, secondary and post-secondary, university level or higher have a higher propensity to remain in the labor force compared to individuals with no education in all years. As family size increases, they have a lower propensity to remain in the labor force. Individuals who are the head of household have a significantly higher propensity to remain in the labor force. The interaction terms between male and head of household have a significantly higher propensity to remain in the labor force. Individuals who are a spouse or married child of the head of household have a significant positive impact on the decision to remain in the labor force. These findings have important implications for Thailand’s old-age policies, encouraging productive aging through employment opportunities while recognizing the importance of family support in enhancing the well-being of older adults.
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References
Adhikari, R., Soonthorndhada, K., & Haseen, F. (2011). Labor force participation in later life: Evidence from a cross-sectional study in Thailand. BMC Geriatrics, 11(1), Article 15. https://doi.org/10.1186/1471-2318-11-15
Anantanasuwong, D. (2021). Population ageing in Thailand: Critical issues in the twenty-first century. In Narot, P., & Kiettikunwong, N. (Eds.), Education for the Elderly in the Asia Pacific. Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 59. Springer, Singapore. https://doi.org/10.1007/978-981-16-3326-3_3
Andersen, L. L., Calatayud, J., Núñez-Cortés, R., Polo-López, A., & López-Bueno, R. (2024). Facilitators and barriers for working beyond statutory pension age: A prospective cohort study across 26 European countries. Scandinavian Journal of Work, Environment & Health, 50(8), Article 622. https://doi.org/10.5271/sjweh.4189
Arkornsakul, P., Puttitanun, T., & Jongadsayakul, W. (2020). Labor supply intention of the elderly in Thailand. Chiang Mai University Journal of Economics, 24(2), 1-16.
Beehr, T. A. (1986). The process of retirement: A review and recommendations for future investigation. Personnel Psychology, 39(1), 31-55. https://doi.org/10.1111/j.1744-6570.1986.tb00573.x
Blomé, M. W., Borell, J., Håkansson, C., & Nilsson, K. (2020). Attitudes toward elderly workers and perceptions of integrated age management practices. International Journal of Occupational Safety and Ergonomics, 26(1), 112–120. https://doi.org/10.1080/10803548.2018.1514135
Boonyasana, P., & Chinnakum, W. (2021). The determinants of planned retirement age of informal worker in Chiang Mai province, Thailand. In Sriboonchitta, S., Kreinovich, V., & Yamaka, W. (Eds.), Behavioral Predictive Modeling in Economics (pp.363-375). Springer, Cham. https://doi.org/10.1007/978-3-030-49728-6_24
Börsch-Supan, A., Schnabel, R., Kohnz, S., & Mastrobuoni, G. (2004). Micro-modeling of retirement decisions in Germany. In Social Security Programs and Retirement Around The World: Micro-estimation (pp. 285-344). University of Chicago Press.
Byron, R. P., & Manaloto, E. Q. (1990). Returns to education in China. Economic Development and Cultural Change, 38(4), 783-796. https://doi.org/10.1086/451833
Cameron, A. C., & Trevedi, P. K. (2009). Microeconometrics using stata. Texas, US: Stata Press.
Chamchan, C. (2008). Issues in considering the new concept of the elderly’s definition and the age of retirement in Thailand. Thai Population Journal, 4(1), 131-150. [in Thai]
Chen, C., Zhao, W., Chou, S. Y., & Lien, H. M. (2021). The effect of family size on parents' labor supply and occupational prestige: Evidence from Taiwan and Mainland China. China Economic Review, 66, Article 101596. https://doi.org/10.1016/j.chieco.2021.101596
Cools, S., Markussen, S., & Strøm, M. (2017). Children and careers: How family size affects parents’ labor market outcomes in the long run. Demography, 54(5), 1773-1793. https://doi.org/10.1007/s13524-017-0612-0
Edge, C. E., Cooper, A. M., & Coffey, M. (2017). Barriers and facilitators to extended working lives in Europe: A gender focus. Public Health Reviews, 38(1), Article 2. https://doi.org/10.1186/s40985-017-0053-8
Fabiani, M. (2024). To retire or not to retire? A comprehensive examination of retirement decision dynamics in Italy. Societies, 14(5), Article 63. https://doi.org/10.3390/soc14050063
Frøyland, K., & Terjesen, H. C. A. (2020). Workplace perceptions of older workers and implications for job retention. Nordic Journal of Working Life Studies, 10(2), 23–41. https://doi.org/10.18291/njwls.v10i2.120819
He, P. (2023). Unmarried children and labor supply decisions of elderly parents. Social Security and Administration Management, 4, 1-7. https://doi.org/10.23977/socsam.2023.040601
Henning, S., & Roncarati, M. (2022). Promoting decent work opportunities for older persons in the Asia-Pacific region in the context of the fourth industrial revolution. Retrived from https://hdl.handle.net/20.500.12870/5178
International Labour Organization. (2022). Thailand Social Protection Diagnostic Review: Review of the pension system in Thailand. Retrived from https://www.ilo.org/sites/default/files/wcmsp5/groups/public/@asia/@ro-bangkok/documents/publication/wcms_836733.pdf
Jaldestad, E., Eriksson, A., Blom, P., & Östlund, B. (2021). Factors influencing retirement decisions among blue-collar workers in a global manufacturing company implications for age management from a system perspective. International Journal of Environmental Research and Public Health, 18(20), Article 10945. https://doi.org/10.3390/ijerph182010945
Kantachote, K., & Wiroonsri, N. (2023). Do elderly want to work? Modeling elderly’s decision to fight aging Thailand. Quality & Quantity, 57(1), 509-539. https://doi.org/10.1007/s11135-022-01366-0
Khalid, M. A. (2023). The future of employment in Malaysia, Singapore and Thailand: Demographic and labour market trends of ageing societies in the context of the fourth industrial revolution. Retrived from https://hdl.handle.net/20.500.12870/6039
Kikkawa, A., & Gaspar, R. (2023). Trends and characteristics of labor force participation among older persons in developing Asia: Literature review and cross-country assessment. Journal of Population Ageing, 16(4), 959-983. https://doi.org/10.1007/s12062-022-09377-3
Lazear, E. P. (1986). Retirement from the labor force. Handbook of Labor Economics, 1, 305-355. https://doi.org/10.1016/S1573-4463(86)01008-8
Levine, R. B., Walling, A., Chatterjee, A., & Skarupski, K. A. (2022). Factors influencing retirement decisions of senior faculty at US medical schools: Are there gender-based differences? Journal of Women's Health, 31(7), 974-982. https://doi.org/10.1089/jwh.2021.0536
Luekitinan, W. (2019). The retirement factors of elder worker in Thai manufacturing: Describing the situation. Journal of Advanced Management Science, 7(2), 64-68. https://doi.org/10.18178/joams.7.2.64-68
Ma, X. (2022). Grandchildren care and labor supply of middle-aged grandmothers: Evidence from China. Journal of Family and Economic Issues, 43(3), 581-598. https://doi.org/10.1007/s10834-021-09794-0
Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge University Press.
Minhat, H. S., & Suwanmanee, S. (2023). Working beyond retirement age: A systematic review. Malaysian Journal of Medicine & Health Sciences, 19(3), 315-324. https://doi.org/10.47836/mjmhs.19.3.41
Nagarajan, N. R., & Sixsmith, A. (2023). Policy initiatives to address the challenges of an older population in the workforce. Ageing International, 48(1), 41-77. https://doi.org/10.1007/s12126-021-09442-w
Parkpoom, P., Laohasiriwon, W., & Mahato, R.K. (2024). Factors affecting the desire to work among elderly people in Thailand. Journal of Public Health and Development, 22(3), 187-201. https://doi.org/10.55131/jphd/2024/220316
Paweenawat, S. W., & Liao, L. (2021). Labor supply of older workers in Thailand: The role of co-residence, health, and pensions. Tokyo, Japan: Asian Development Bank Institute (ADBI). Retrived from https://hdl.handle.net/10419/238581
Roman, R. (2016). Workplace perception and job-satisfaction of older workers. MPRA Paper 70917, University Library of Munich, Germany. Retrived from https://mpra.ub.uni-muenchen.de/70917/
Ruzik-Sierdzińska, A. (2018). An attempt to identify factors influencing retirement decisions in Poland. Acta Universitatis Lodziensis. Folia Oeconomica, 4(336), 43-59. https://doi.org/10.18778/0208-6018.336.03
Sakai, K., Nagata, T., Mori, T., Sueyoshi, N., Inoue, S., Odagami, K., ... & Mori, K. (2025). Determinants of job continuity among older workers: A mixed-methods research in Japan. Industrial Health, 63(2), 129-140. https://doi.org/10.2486/indhealth.2024-0081
Shen, K., Yan, P., & Zeng, Y. (2016). Coresidence with elderly parents and female labor supply in China. Demographic Research, 35, 645-670. https://doi.org/10.4054/DemRes.2016.35.23
Sirisub, P., Suwannapong, N., Tipayamongkholgul, M., Howteerakul, N., & Noree, T. (2019). Intention to extend working life among thai registered nurses in ministry of public health: A national survey. Nursing Research and Practice, 2019(1), Article 7919404. https://doi.org/10.1155/2019/7919404
Soonthornchawakan, N., & Cintakulchai, S. (2009). Job opportunities creations for the elderly. Bangkok: Economic Research Training Center, Faculty of Economics, Thammasat University. [in Thai]
Soonthornchawakan, N., & Kulthanavit, P. (2015). The study of age-productivity profiles and the old, aged labor’ s working in manufacturing sector, trade and services sector and wholesale-retail trade and hotel-restaurants sector. Bangkok: Foundation of Thai Gerontology Research and Development Institute. Retrived from https://thaitgri.org/?p=37096 [in Thai]
Stevens, M. J., Barker, M., Dennison, E., Harris, E. C., Linaker, C., Weller, S., & Walker-Bone, K. (2022). Recent UK retirees’ views about the work-related factors which influenced their decision to retire: A qualitative study within the Health and Employment After Fifty (HEAF) cohort. BMC Public Health, 22(1), Article 116. https://doi.org/10.1186/s12889-022-12541-1
Tangtipongkul, K., & Srisuchart, S. (2018). The decision to retire early: Evidence from private service sector in Thailand. Journal of Population and Social Studies, 26(2), 149-164. https://doi.org/10.25133/JPSSv26n2.011
Thailand Development Research Institute. (2024) An examination of gaps and policy options to promote human capital development and labor force participation of older persons. Retrived from https://tdri.or.th/wp-content/uploads/2025/05/Q_Sep2024-1.pdf
Tong, Y., Chen, F., & Su, W. (2019). Living arrangements and older people's labor force participation in Hong Kong, 1986–2016. Social Science & Medicine, 229, 50-59. https://doi.org/10.1016/j.socscimed.2018.10.011
United Nations Economic and Social Commission for Asia and the Pacific. (2022) Asia-Pacific report on population ageing 2022: Trends, policies and good practices regarding older persons and population ageing. Retrived from https://www.unescap.org/kp/2022/asia-pacific-report-population-ageing-2022-trends-policies-and-good-practices-regarding
Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. London, UK: Massachusetts Institute of Technology.
Zhan, P., & Mao, Y. (2025). A study on the long-term trend of middle-aged female labor supply in urban China: The explanation from inter-generational care. Journal of Asian Economics, 101, Article 102058. https://doi.org/10.1016/j.asieco.2025.102058