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Articles

Economic survival duration of Thai workers during COVID-19

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Article: 2106506 | Received 01 Sep 2021, Accepted 21 Jul 2022, Published online: 08 Aug 2022

References

  • Adams-Prassl, A., Boneva, T., Golin, M., & Rauh, C. (2020). Inequality in the impact of the coronavirus shock: Evidence from real time surveys. Journal of Public Economics, 189, 104245. https://doi.org/10.1016/j.jpubeco.2020.104245
  • Akkermans, J., Richardson, J., & Kraimer, M. (2020). The Covid-19 crisis as a career shock: Implications for careers and vocational behavior. Journal of Vocational Behavior, 119, 103434. https://doi.org/10.1016/j.jvb.2020.103434
  • Al-Youbi, A. O., Al-Hayani, A., Rizwan, A., & Choudhry, H. (2020). Implications of COVID-19 on the labor market of Saudi Arabia: The role of universities for a sustainable workforce. Sustainability, 12(17), 7090. https://doi.org/10.3390/su12177090
  • Antipova, A. (2021). Analysis of the COVID-19 impacts on employment and unemployment across the multi-dimensional social disadvantaged areas. Social Sciences & Humanities Open, 4(1), 100224. https://doi.org/10.1016/j.ssaho.2021.100224
  • Aum, S., Lee, S. Y. T., & Shin, Y. (2021). Covid-19 doesn’t need lockdowns to destroy jobs: The effect of local outbreaks in Korea. Labour Economics, 70, 101993. https://doi.org/10.1016/j.labeco.2021.101993
  • Bank of Thailand. (2020). Effects of COVID-19 on Thailand’s labor market. Bank of Thailand. https://www.bot.or.th/Thai/ResearchAndPublications/articles/Pages/Article_12Oct2020.aspx
  • Belot, M., Choi, S., Tripodi, E., Van den Broek-Altenburg, E., Jamison, J. C., & Papageorge, N. W. (2021). Unequal consequences of Covid 19: Representative evidence from six countries. Review of Economics of the Household, 19(3), 769–783.
  • Cox, D. R. (1992). Regression models and life-tables. Breakthroughs in statistics. Stat. Soc, 372, 527–541.
  • Crossley, T. F., Fisher, P., & Low, H. (2021). The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data. Journal of Public Economics, 193, 104334. https://doi.org/10.1016/j.jpubeco.2020.104334
  • Danacica, D. E., & Babucea, A. G. (2010). Using survival analysis in economics. Survival, 11, 15.
  • Gunsel, N. (2010). Determinants of the timing of bank failure in North Cyprus. The Journal of Risk Finance, 11(1), 89–106. https://doi.org/10.1108/15265941011012705
  • International Labour Organization. (2020). COVID-19 employment and labour market impact in Thailand. ILO. https://www.ilo.org/asia/publications/labour-markets/WCMS_747944/lang–en/index.htm
  • Janssens, W., Pradhan, M., de Groot, R., Sidze, E., Donfouet, H. P. P., & Abajobir, A. (2021). The short-term economic effects of COVID-19 on low-income households in rural Kenya: An analysis using weekly financial household data. World Development, 138, 105280. https://doi.org/10.1016/j.worlddev.2020.105280
  • Jones, M. (2022). COVID-19 and the labour market outcomes of disabled people in the UK. Social Science & Medicine (1982), 292, 114637. https://doi.org/10.1016/j.socscimed.2021.114637
  • Jung, H. S., Jung, Y. S., & Yoon, H. H. (2021). COVID-19: The effects of job insecurity on the job engagement and turnover intent of deluxe hotel employees and the moderating role of generational characteristics. International Journal of Hospitality Management, 92, 102703. https://doi.org/10.1016/j.ijhm.2020.102703
  • Karim, M. R., Islam, M. T., & Talukder, B. (2020). COVID-19′ s impacts on migrant workers from Bangladesh: In search of policy intervention. World Development, 136, 105123. https://doi.org/10.1016/j.worlddev.2020.105123
  • Kavkler, A., Danacica, D. E., Babucea, A. G., Bicanic, I., Bohm, B., Tevdovski, D., Tosevska, K., & Borsic, D. (2009). Cox regression models for unemployment duration in Romania, Austria, Slovenia, Croatia, and Macedonia. Romanian Journal of Economic Forecasting, 10(2), 81–104.
  • Kikuchi, S., Kitao, S., & Mikoshiba, M. (2021). Who suffers from the COVID-19 shocks? Labor market heterogeneity and welfare consequences in Japan. Journal of the Japanese and International Economies, 59, 101117. https://doi.org/10.1016/j.jjie.2020.101117
  • Koczan, Z. (2022). Not all in this together? Early estimates of the unequal labour market effects of Covid-19. Applied Economics, 54(44), 5021–5034. https://doi.org/10.1080/00036846.2022.2035311
  • Komin, W., Thepparp, R., Subsing, B., & Engstrom, D. (2020). Covid-19 and its impact on informal sector workers: A case study of Thailand. Asia Pacific Journal of Social Work and Development, 31(1–2), 80–88.
  • Narayanamurthy, G., & Tortorella, G. (2021). Impact of COVID-19 outbreak on employee performance–moderating role of industry 4.0 base technologies. International Journal of Production Economics, 234, 108075. https://doi.org/10.1016/j.ijpe.2021.108075
  • NESDC. (2019). The 2019 poverty and inequality report. National Economic and Social Development Council. http://social.nesdc.go.th/social/Default.aspx?tabid=126&articleType=ArticleView&articleId=243
  • Picatoste, X., Aceleanu, M. I., & Șerban, A. C. (2021). Job quality and well-being in OECD countries. Technological and Economic Development of Economy, 27(3), 681–703. https://doi.org/10.3846/tede.2021.14731
  • Posel, D., Oyenubi, A., & Kollamparambil, U. (2021). Job loss and mental health during the COVID-19 lockdown: Evidence from South Africa. PloS One, 16(3), e0249352. https://doi.org/10.1371/journal.pone.0249352
  • Puttachai, W., Yamaka, W., Maneejuk, P., & Sriboonchitta, S. (2019). Analysis of the global economic crisis using the cox proportional hazards model. In International Econometric Conference of Vietnam (pp. 863–872). Springer.
  • Salinas-Escudero, G., Carrillo-Vega, M. F., Granados-García, V., Martínez-Valverde, S., Toledano-Toledano, F., & Garduño-Espinosa, J. (2020). A survival analysis of COVID-19 in the Mexican population. BMC Public Health, 20(1), 1–8.
  • Shih, R., & Giles, D. E. (2009). Modelling the duration of interest rate spells under inflation targeting in Canada. Applied Economics, 41(10), 1229–1239. https://doi.org/10.1080/00036840701721232
  • Tibshirani, R. (1997). The lasso method for variable selection in the Cox model. Statistics in Medicine, 16(4), 385–395. https://doi.org/10.1002/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2-3
  • Varshney, D., Kumar, A., Mishra, A. K., Rashid, S., & Joshi, P. K. (2021). India’s COVID-19 social assistance package and its impact on the agriculture sector. Agricultural Systems, 189, 103049. https://doi.org/10.1016/j.agsy.2021.103049
  • Wang, D., Wu, T. T., & Zhao, Y. (2019). Penalized empirical likelihood for the sparse Cox regression model. Journal of Statistical Planning and Inference, 201, 71–85. https://doi.org/10.1016/j.jspi.2018.12.001