Effect of Health Status on the Choice of the Volume of Working Hours in Cameroon
International Journal of Economic Behavior and Organization
Volume 8, Issue 3, September 2020, Pages: 57-63
Received: Jun. 11, 2020; Accepted: Jun. 28, 2020; Published: Jul. 13, 2020
Views 162      Downloads 37
Author
Tchoffo Yemeli Jonathan, Human Resource Economics, Faculty of Economics and Management, University of Yaounde II- Soa, Yaounde, Cameroon
Article Tools
Follow on us
Abstract
This article highlights the influence of health status on the choice of the volume of working hours in Cameroon based on data from the fourth Cameroonian Household Survey (ECAM IV) conducted by the National Institute of Cameroon Statistics during 2014. Health is measured by a subjective indicator of self-assessment of health status. The structure of the distribution of working hours by sector of employment led to the choice of a Tobit model. The results suggest that individuals in poor health (relative to those who are healthy) lose an average of 10.87 hours of work. The fact that health status is not a relevant variable in explaining the working hour’s choices of Cameroonians contrasts with the results of other studies which consider health status as an exogenous variable. This article shows that the higher the income from activities, the less time people spend in the labour market. This observation is more noticeable in paid employment, where we observe that the degree of negative influence of income generated by the activity is more significant, at the 1% threshold against a 10% threshold in self-employment. This result reflects the superiority of the substitution effect over the income effect.
Keywords
Health Status, Volume of Working Hours, Cameroon, Tobit
To cite this article
Tchoffo Yemeli Jonathan, Effect of Health Status on the Choice of the Volume of Working Hours in Cameroon, International Journal of Economic Behavior and Organization. Vol. 8, No. 3, 2020, pp. 57-63. doi: 10.11648/j.ijebo.20200803.12
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Bastida, E., Pagan, J. A., (2002). The impact of diabetes on adult employment and earnings of Mexican Americans: findings from a community based study. Health Economics 11 (5), 403–413.
[2]
Berniell, I. et Bietenbeck, J. (2017). The effects of working hours on health. IZA Discussion Papers Series; 10524. Bonn IZA.
[3]
Borjas, G. J. (1980), “The relationship between wages and weekly hours of work: the role of division bias”, The Journal of Human Resources, 3, 409-423.
[4]
Bound, J. (1991), “Self-reported versus objective measures of health in retirement models”, Journal of Human Resources, 26 (1), 106-138.
[5]
Breslow, L. (1989) ‘Health Status Measurement in the Evaluation of Health Promotion’, Medical Care, 27: S205-S216.
[6]
Cai, L. (2010) ‘The relationship between health and labour force participation: Evidence from a panel data simultaneous equation model’, Labour Economics, 17: 77–90.
[7]
Chirikos, T. N. (1993), “The Relationship between Health and Labor Market Status”, Annual Reviews of Public Health, 14, 293-312.
[8]
Currie, J. and Madrian, B. C. (1999), “Health, health insurance and the labor market”, in Ashenfelter, O. and Card, D., Handbook of Labor Economics, 3, 3310-3415.
[9]
Dasgupta, P. (1993), An Inquiry into Well-being and Destitution, Clarendon Press, Oxford.
[10]
Defebvre, E. (2017). "Harder, better, faster... Yet stronger? Working conditions and self-declaration of chronic diseases." Health Econ.
[11]
Deolalikar, A. (1988), “Nutrition and labour productivity in agriculture: Estimates for rural South Asia”, Review of Economics and Statistics, 70, 406-413.
[12]
Dwyer, D. S. et Mitchell, O. S. (1999), “Health problems as determinants of retirement: Are self-rated measures endogenous?”, Journal of Health Economics, 18, 173-193.
[13]
Gertler, P. and J. Gruber (2002) ‘Insuring Consumption against Illness’, American Economic Review, 92: 51-70.
[14]
Goldman, T. R. (2017). "Working With A Chronic Disease." Health Affairs 36 (2): 202-205.
[15]
Grossman, M. (1972a), “On the concept of health capital and the demand for health”, Journal of Political Economy, 80, 223-255.
[16]
Grossman, M. (1999), “The human capital model of the demand for health”, National Bureau of Economic Research, Working Paper, 7078.
[17]
Heckman J. (1974), “Effects of child-care programs on women's work effort”, Journal of Political Economy, 82, 153-161.
[18]
Heckman, J. (1979), “Sample selection bias as a specification error”, Econometrica, 47, 153-162.
[19]
Heckman, J. and MaCurdy, T. E. (1981), “New methods for estimating labor supply functions: a survey”, Research in Labor Economics, 4, 65-102.
[20]
Immink, M., Viteri, F., Flores, R. and Torun, B. (1984), “Microeconomic consequences of energy deficiency in rural populations in developing countries”, in Pollitt, E. and Amante P.(eds.), Energy Intake and Activity, Alan R. Liss Inc., New York, 1984: 355-76.
[21]
Jäckle, R. and O. Himmler (2010) ‘Health and wages: Panel data estimates considering selection and endogeneity’, Journal of Human Resources, 45: 364-406.
[22]
Kahn, M. E., (1998). Health and labor market performance: the case of diabetes. Journal of Labor Economics 16 (4), 878–899.
[23]
Kamgnia Dia, B. (2007) ‘The Demand for Malaria Control Products and Services: Evidence from Yaoundé, Cameroon’ In Fosu A. and Mwabu G. (eds), Malaria and Poverty in Africa, AERC Collaborative Research on Malaria and Poverty in Africa, University of Nairobi Press, Chapter 5, 105.
[24]
Killingsworth, M. R. (1983), Labor supply, New York: Cambridge University Press.
[25]
Latif, E. (2009). "The impact of diabetes on employment in Canada." Health Econ 18 (5): 577-589.
[26]
Kreider, B. (1999) ‘Latent work disability and reporting bias’, Journal of Human Resources, 34: 734–769.
[27]
Leung S. F. et C. T. Wong (2002) ‘Health Status and Labor Supply: Interrelationship and Determinants’, Hong Kong University of Science and Technology, mimeo.
[28]
Moffit, R. (1984), “Profiles of fertility, labour supply and wages of married women: A completed life-cycle model”, Review of Economics and Statistics, 51 (2), 263-78.
[29]
Moffit, R. (1999), “Profiles of fertility, labour supply and wages of married women: A completed life-cycle model”, Review of Economics and Statistics, 51 (2), 263-78.
[30]
Mwabu, G. (2007) ‘The Economic Burden of Malaria in Kenya’, In Fosu A. and Mwabu G. (eds), Malaria and Poverty in Africa, AERC Collaborative Research on Malaria and Poverty in Africa, University of Nairobi Press, Chapter 3, 45-72.
[31]
Perronnin, M., L. Rochaix and S. Tubeuf (2006) ‘Construction d’un Indicateur Continu d’Etat de Santé Agrégeant Risque Vital et Incapacité, Questions d’Economie de la Santé’, Bulletin d’Informations en Économie de la Santé, IRDES, 107.
[32]
Satyanarayana, K., Naidu A. N., Chaterjee, B. and Narasinga R. B. (1977), “Body size and work output”, American Journal of Clinical Nutrition, 322-325.
[33]
Siegrist, J. (1989), “Steps towards explaining social differentials in morbidity: the case of West Germany”, in Fox, J. (ed.), Health Inequalities in European Countries, Gower, Aldershot, 353–65.
[34]
Sokoloff, N. (1980), “Women’s work, women’s health: review and analysis”, International Journal of Health Sciences, 10 (3), 513-17.
[35]
Spurr, G. B. (1990), the impact of chronic under nutrition on physical work capacity and daily energy expenditure', in G. A. Harrison and J. C. Waterlow (eds.), Diet and Disease in Traditional and Developing Countries, Cambridge.
[36]
Strauss, J. and Thomas, D. (1998), “Health, nutrition and economic development”, Journal of Economic Literature, 36, 766-817.
[37]
Tausman, P. and S. Rosen (1982) ‘Healthiness, education and marital status’ In V. Fuchs, (Eds.), Economics Aspects of Health: University of Chicago Press.
[38]
Tobin, J. (1958), “Estimation of relationships for limited dependent variables”, Econometrica, 26, 24-36.
[39]
Waldron, I. (1980), “Employment and women’s health: an analysis of causal relationships”, International Journal of Health Sciences, 10 (3), 435-54.
[40]
Wales, T. and Woodland, A. (1976), “Estimation of household utility functions and labor supply responses”, International Economic Review, 17, 397-410.
[41]
Weil, D. N. (2008) ‘Endemic Diseases and African Economic Growth: Challenge and Policy Responses’, Journal of African Economies, 19: iii81-iii109.
[42]
Zhang X., Zhao, X., Harris A. (2009), “Chronic diseases and labour force participation in Australia”, Journal of Health Economics, 28, pp. 91-108.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186