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Articles

Chronic illnesses and labor market participation in the Arab countries: evidence from Egypt and Tunisia

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Pages 303-322 | Received 21 Feb 2020, Accepted 28 Oct 2022, Published online: 27 Nov 2022

References

  • Allison, P. D. (1999). Comparing logit and probit coefficients across groups. Sociological Methods & Research, 28(2), 186–208. https://doi.org/10.1177/0049124199028002003
  • Anderson, K. H., & Burkhauser, R. V. (1985). The retirement-health nexus: A new measure of an old puzzle. Journal of Human Resources, 20(3), 315–330. https://doi.org/10.2307/145884
  • Angel-Urdinola, D. F., & Tanabe, K. (2012). Micro-determinants of informal employment in the Middle East and North Africa region. World Bank.
  • Baanders, A. N., Rijken, P. M., & Peters, L. (2002). Labor participation of the chronically ill. The European Journal of Public Health, 12(2), 124–130. https://doi.org/10.1093/eurpub/12.2.124
  • Baker, M., Stabile, M., & Deri, C. (2004). What do self-reported, objective, measures of health measure? Journal of Human Resources, 39(4), 1067–1093. https://doi.org/10.2307/3559039
  • Becker, G. S. (1964). Human capital theory. Columbia.
  • Becker, G. S. (1965). A theory of the allocation of time. The Economic Journal, 75(299), 493–517. https://doi.org/10.2307/2228949
  • Benitez-Silva, H., Buchinsky, M., Man Chan, H., Cheidvasser, S., & Rust, J. (2004). How large is the bias in self-reported disability? Journal of Applied Econometrics, 19(6), 649–670. https://doi.org/10.1002/jae.797
  • Blackaby, D., Clark, K., Drinkwater, S., Leslie, D., Murphy, P., & O’Leary, N. (1999). Earnings and employment opportunities of disabled people. Department for Education and Employment, Research Report No. (133).
  • Bound, J., Schoenbaum, M., Stinebrickner, T. R., & Waidmann, T. (1999). The dynamic effects of health on the labor force transitions of older workers. Labor Economics, 6(2), 179–202. https://doi.org/10.1016/S0927-5371(99)00015-9
  • Bradley, C. J., Neumark, D., & Motika, M. (2012). The effects of health shocks on employment and health insurance: The role of employer-provided health insurance. International Journal of Health Care Finance and Economics, 12(4), 253–267. https://doi.org/10.1007/s10754-012-9113-2
  • Bridges, S., & Lawson, D. (2008). Health and labor market participation in Uganda. WIDER working paper 7/2008. UNU-WIDER.
  • Cai, L. (2010). The relationship between health and labor force participation: Evidence from a panel data simultaneous equation model. Labor Economics, 17(1), 77–90. https://doi.org/10.1016/j.labeco.2009.04.001
  • Cai, L., & Kalb, G. (2006). Health status and labor force participation: Evidence from Australia. Health Economics, 15(3), 241–261. https://doi.org/10.1002/hec.1053
  • Campolieti, M. (2002). Disability and the labor force participation of older men in Canada. Labor Economics, 9(3), 405–432. https://doi.org/10.1016/S0927-5371(02)00051-9
  • Corburn, J., & Hildebrand, C. (2015). Slum sanitation and the social determinants of women’s health in Nairobi, Kenya. Journal of Environmental and Public Health, 2015. https://doi.org/10.1155/2015/209505
  • Cragg, J. G., & Donald, S. G. (1993). Testing identifiability and specification in instrumental variable models. Econometric Theory, 9(2), 222–240.
  • Dwyer, D. S., & Mitchell, O. S. (1999). Health problems as determinants of retirement: Are self-rated measures endogenous? Journal of Health Economics, 18(2), 173–193. https://doi.org/10.1016/S0167-6296(98)00034-4
  • Gannon, B. (2005). A dynamic analysis of disability and labor force participation in Ireland 1995–2000. Health Economics, 14(9), 925–938. https://doi.org/10.1002/hec.1044
  • Global Health Estimates. (2020). Deaths by cause, age, sex, by country and by region, 2000–2019. World Health Organization. https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
  • Gobalarajah, K., Subramaniam, P., Jayawardena, U. A., Rasiah, G., Rajendra, S., & Prabagar, J. (2020). Impact of water quality on Chronic Kidney Disease of unknown etiology (CKDu) in Thunukkai Division in Mullaitivu District, Sri Lanka. BMC Nephrology, 21(1), 1–11. https://doi.org/10.1186/s12882-020-02157-1
  • Greene, W. (1993). Econometric analysis. Macmillan.
  • Grossman, M. (1972). On the concept of health capital and the demand for health. Journal of Political Economy, 80(2), 223–255. https://doi.org/10.1086/259880
  • Gyasi, R. M., Simiyu, S., & Bagayoko, M. (2022). Water, sanitation and the risk of chronic diseases in old age: Results from the Ghana WHO SAGE 2. F1000Research, 11(266), 266. https://doi.org/10.12688/f1000research.75541.1
  • Hajat, C., & Stein, E. (2018). The global burden of multiple chronic conditions: A narrative review. Preventive Medicine Reports, 12, 284–293. https://doi.org/10.1016/j.pmedr.2018.10.008
  • Hajjar, R. R., Atli, T., Al-Mandhari, Z., Oudrhiri, M., Balducci, L., & Silbermann, M. (2013). Prevalence of aging population in the Middle East and its implications on cancer incidence and care. Annals of Oncology, 24, vii11–vii24. https://doi.org/10.1093/annonc/mdt268
  • Jayasumana, C., Paranagama, P., Agampodi, S., Wijewardane, C., Gunatilake, S., & Siribaddana, S. (2015). Drinking well water and occupational exposure to Herbicides is associated with chronic kidney disease, in Padavi-Sripura, Sri Lanka. Environmental Health, 14(1), 1–10. https://doi.org/10.1186/1476-069X-14-6
  • Joshi, D., Fawcett, B., & Mannan, F. (2011). Health, hygiene and appropriate sanitation: Experiences and perceptions of the urban poor. Environment and Urbanization, 23(1), 91–111. https://doi.org/10.1177/0956247811398602
  • Kaneda, T., & El-Saharty, S. (2017). Curbing the noncommunicable disease epidemic in the Middle East and North Africa: Prevention among young people is the key. Population Reference Bureau.
  • Kankeu, H. T., Saksena, P., Xu, K., & Evans, D. B. (2013). The financial burden from non-communicable diseases in low-and middle-income countries: A literature review. Health Research Policy and Systems, 11(1), 31. https://doi.org/10.1186/1478-4505-11-31
  • Kelley, K., & Preacher, K. J. (2012). On effect size. Psychological Methods, 17(2), 137. https://doi.org/10.1037/a0028086
  • Kreider, B. (1999). Latent work disability and reporting bias. Journal of Human Resources, 34(4), 734–769. https://doi.org/10.2307/146415
  • Lancaster, K. (1966). Change and innovation in the technology of consumption. The American Economic Review, 56(1/2), 14–23. https://www.jstor.org/stable/1821263
  • Laplagne, P., Glover, M., & Shomos, A. (2007). Effects of health and education on labor force participation. SSRNn no. 1018889.
  • McIntyre, D., Thiede, M., Dahlgren, G., & Whitehead, M. (2006). What are the economic consequences for households of illness and of paying for health care in low-and middle-income country contexts? Social Science & Medicine, 62(4), 858–865. https://doi.org/10.1016/j.socscimed.2005.07.001
  • Mete, C., & Schultz, T. P. (2002). Health and labor force participation of the elderly in Taiwan. Yale University Economic Growth Center Discussion Paper, (846).
  • Mood, C. (2010). Logistic regression: Why we cannot do what we think we can do, and what we can do about it. European Sociological Review, 26(1), 67–82. https://doi.org/10.1093/esr/jcp006
  • Nwosu, C. O., & Woolard, I. (2015). Impact on health on labor force participation in South Africa. Economic Research South Africa (ESRA) Working Paper No. 548.
  • Pitt, M. M., & Rosenzweig, M. R. (1990). Estimating the intrahousehold incidence of illness: Child health and gender-inequality in the allocation of time. International Economic Review, 31(4), 969–989. https://doi.org/10.2307/2527025
  • Rahim, H. F. A., Sibai, A., Khader, Y., Hwalla, N., Fadhil, I., Alsiyabi, H., & Husseini, A. (2014). Non-communicable diseases in the Arab world. The Lancet, 383(9914), 356–367. https://doi.org/10.1016/S0140-6736(13)62383-1
  • Rocco, L., Tanabe, K., Suhrcke, M., & Fumagalli, E. (2011). ‘Chronic diseases and labor market outcomes in Egypt, world bank policy research working paper series, No. 5575. World Bank.
  • Sambamoorthi, U., Tan, X., & Deb, A. (2015). Multiple chronic conditions and healthcare costs among adults. Expert Review of Pharmacoeconomics & Outcomes Research, 15(5), 823–832. https://doi.org/10.1586/14737167.2015.1091730
  • Schultz, T. P., & Tansel, A. (1997). Wage and labor supply effects of illness in Cote d’Ivoire and Ghana: Instrumental variable estimates for days disabled. Journal of Development Economics, 53(2), 251–286. https://doi.org/10.1016/S0304-3878(97)00025-4
  • Stern, S. (1989). Measuring the effect of disability on labor force participation. Journal of Human Resources, 24(3), 361–395. https://doi.org/10.2307/145819
  • Sullivan, G. M., & Feinn, R. (2012). Using effect size – Or why the P value is not enough. Journal of Graduate Medical Education, 4(3), 279–282. https://doi.org/10.4300/JGME-D-12-00156.1
  • Wolff, J. L., Starfield, B., & Anderson, G. (2002). Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Archives of Internal Medicine, 162(20), 2269–2276. https://doi.org/10.1001/archinte.162.20.2269
  • World Health organization (WHO), and UNICEF. (2010). Progress on sanitation and drinking-water: 2010 update. In Progress on sanitation and drinking-water: 2010 update (pp. 60–60).
  • Zhang, X., Zhao, X., & Harris, A. (2009). Chronic diseases and labor force participation in Australia. Journal of Health Economics, 28(1), 91–108. https://doi.org/10.1016/j.jhealeco.2008.08.001