Skip to main content
Top
Published in: Journal of Public Health 6/2017

01-12-2017 | Original Article

Obesity-based labour market discrimination in South Africa: a dynamic panel analysis

Authors: Junita Henry, Umakrishnan Kollamparambil

Published in: Journal of Public Health | Issue 6/2017

Login to get access

Abstract

Purpose

Apart from obesity-related health care costs in South Africa, obesity is also seen to have far-reaching effects that seep into labour market outcomes. Using National Income Dynamics Survey (NIDS) panel data, this study aims to examine the relationship between body mass index (BMI) and employment status as well as wage levels of individuals to identify the optimal level of BMI from the labour market perspective in South Africa. Thereafter, the article uses ethnicity-backed obesity thresholds to measure the discrimination obese individuals face on the probability of becoming employed and their wages earned once employed.

Methods

The econometric analysis uses the OLS probit and tobit regression models as the starting point for analysis. However due to issues of reverse causality, the analysis thereafter utilises a system GMM model to take endogeneity into account. A further Blinder-Oaxaca decomposition technique is used to derive the discrimination component in the system GMM regressions for obese and non-obese individuals. Finallly, gender-specific analysis is undertaken to investigate whether obesity-related discrimination differs between males and females.

Results

The relationship between BMI and employment probability/wages is seen to be non-linear with increases in BMI leading to an increase in the probability of employment and wages up to a threshold beyond which this relationship becomes negative. Based on the system GMM estimation, the optimal BMI for employment probability and wage determination is identified as 30 and 27 respectively. Blinder-Oaxaca estimates show that 90% of the gap in employment status is accounted for by obesity-related discrimination. With regard to wages, obesity leads to a discrimination of 186%. Gen1der-specific Oaxaca analysis found that obese females face discrimination in employment probability of 109% compared to a negative discrimination of −184% for obese males. In determining wages, employed obese females face discrimination of around 73% whereas the discrimination endured by employed obese males is half of this, at 35%.

Conclusion

Our findings reiterate that increasingly obesity has adverse labour market implications. Obesity-based discrimination exists in South Africa and is predominantly faced by obese women entering the workplace and continues in the wage determination of both men and women.
Appendix
Available only for authorised users
Literature
go back to reference Adeboye B, Bermano G, Rolland C (2012) Obesity and its health impact in Africa: a systematic view. Cardiovasc J S Afr 23(9):512–521CrossRef Adeboye B, Bermano G, Rolland C (2012) Obesity and its health impact in Africa: a systematic view. Cardiovasc J S Afr 23(9):512–521CrossRef
go back to reference Arellano M, Bond S (1991) Some tests of specication for panel data:Monte carlo evidence and an application to employment equations. Rev Econ Stud 58(2):277-297 Arellano M, Bond S (1991) Some tests of specication for panel data:Monte carlo evidence and an application to employment equations. Rev Econ Stud 58(2):277-297
go back to reference Arellano M, Bover O (1995) Another look at the instrumental variables estimation of error components models. J Econ 68:29-51 Arellano M, Bover O (1995) Another look at the instrumental variables estimation of error components models. J Econ 68:29-51
go back to reference Asgeirsdottir TL (2011) Obesity & Employment: the case of Iceland. University of Iceland, Department of Economics, Reykjavík Asgeirsdottir TL (2011) Obesity & Employment: the case of Iceland. University of Iceland, Department of Economics, Reykjavík
go back to reference Barnett A, Kumar S (2009) Obesity & Diabetes, Second edn. John-Wiley & Sons, Southern Gate, United KingdomCrossRef Barnett A, Kumar S (2009) Obesity & Diabetes, Second edn. John-Wiley & Sons, Southern Gate, United KingdomCrossRef
go back to reference Baum C, Ford W (2004) The wage effects of obesity: a longitudinal study. Health Econ 13(9):885–899CrossRefPubMed Baum C, Ford W (2004) The wage effects of obesity: a longitudinal study. Health Econ 13(9):885–899CrossRefPubMed
go back to reference Blinder AS (1973) Wage discrimination: reduced form and structural estimates. J Hum Resour 8:436–455CrossRef Blinder AS (1973) Wage discrimination: reduced form and structural estimates. J Hum Resour 8:436–455CrossRef
go back to reference Blundell R, Bond S (1998) Initial conditions and moment restrictions in dynamic panel data models. J Econ 87:115-143 Blundell R, Bond S (1998) Initial conditions and moment restrictions in dynamic panel data models. J Econ 87:115-143
go back to reference Cawley J (2004) The impact of obesity on wages. J Hum Resour 39(2):451–474CrossRef Cawley J (2004) The impact of obesity on wages. J Hum Resour 39(2):451–474CrossRef
go back to reference Cawley J, Han E, Norton EC (2009) Obesity and labor market outcomes among legal immigrants to the United States from developing countries. Econ Hum Biol 7(2):153–164CrossRefPubMed Cawley J, Han E, Norton EC (2009) Obesity and labor market outcomes among legal immigrants to the United States from developing countries. Econ Hum Biol 7(2):153–164CrossRefPubMed
go back to reference Dackleburg M, Gerdtham UG, Nordin M (2014) Productivity or discrimination? An economic analysis of excess-weight penalty in the Swedish labor market. Eur J Health Econ 16(6):589–601 Dackleburg M, Gerdtham UG, Nordin M (2014) Productivity or discrimination? An economic analysis of excess-weight penalty in the Swedish labor market. Eur J Health Econ 16(6):589–601
go back to reference Dasgupta P, Ray D (1986) Inequality as a determinant of malnutrition and unemployment: theory. Econ J 96(384):1011–1034CrossRef Dasgupta P, Ray D (1986) Inequality as a determinant of malnutrition and unemployment: theory. Econ J 96(384):1011–1034CrossRef
go back to reference Department of Health (2015) Strategy for the Prevention & Control of obesity in South Africa 2015–2020. Department of Health, Republic of South Africa Department of Health (2015) Strategy for the Prevention & Control of obesity in South Africa 2015–2020. Department of Health, Republic of South Africa
go back to reference Garcia J, Quintana-Domeque C (2006) Obesity, employment, and wages in Europe. Adv Health Econ Health Serv Res 17 Garcia J, Quintana-Domeque C (2006) Obesity, employment, and wages in Europe. Adv Health Econ Health Serv Res 17
go back to reference Harkonen J, Rasanen P, Nasi M (2011) Obesity, unemployment, and earnings. Nordic Journal of working life studies 1(2):23–38CrossRef Harkonen J, Rasanen P, Nasi M (2011) Obesity, unemployment, and earnings. Nordic Journal of working life studies 1(2):23–38CrossRef
go back to reference Harper B (2000) Beauty, stature and the labour market: a British cohort study. Oxf Bull Econ Stat 62:771–801CrossRef Harper B (2000) Beauty, stature and the labour market: a British cohort study. Oxf Bull Econ Stat 62:771–801CrossRef
go back to reference Holtz-Eakin D, Newey W, Rosen HS (1988) Estimating vector autoregressions with panel data. Econometrica 56:1371–1395CrossRef Holtz-Eakin D, Newey W, Rosen HS (1988) Estimating vector autoregressions with panel data. Econometrica 56:1371–1395CrossRef
go back to reference Johansson E, Böckerman P, Kiiskinen U, Heliövaara M (2009) Obesity and labour market success in Finland: the difference between having a high BMI and being fat. Econ Hum Biol Mar 7(1):36–45CrossRef Johansson E, Böckerman P, Kiiskinen U, Heliövaara M (2009) Obesity and labour market success in Finland: the difference between having a high BMI and being fat. Econ Hum Biol Mar 7(1):36–45CrossRef
go back to reference Kollamparambil U, Razak A (2016) Trends in gender wage gap and discrimination in South Africa: a comparative analysis across races. Indian Journal of Human Development 10(1):5–9CrossRef Kollamparambil U, Razak A (2016) Trends in gender wage gap and discrimination in South Africa: a comparative analysis across races. Indian Journal of Human Development 10(1):5–9CrossRef
go back to reference Lechtenfeld T & Zoch A (2014) Income Convergence in South Africa: Fact or Measurement Error? Stellenbosch Economic Working Papers: 10/14, South Africa Lechtenfeld T & Zoch A (2014) Income Convergence in South Africa: Fact or Measurement Error? Stellenbosch Economic Working Papers: 10/14, South Africa
go back to reference Lindeboom M, Lundborgc P, der Klaauw Bc V (2010) Assessing the impact of obesity on labor market outcomes. Econ Hum Biol 8(3):309–319CrossRefPubMed Lindeboom M, Lundborgc P, der Klaauw Bc V (2010) Assessing the impact of obesity on labor market outcomes. Econ Hum Biol 8(3):309–319CrossRefPubMed
go back to reference Morris S (2007) The impact of obesity on employment. Labour Econ 14(3):413–433CrossRef Morris S (2007) The impact of obesity on employment. Labour Econ 14(3):413–433CrossRef
go back to reference Ntuk U, Gill J, Mackay D, Sattar N, Pell J (2014) Ethnic-specific obesity cutoffs for diabetes risk: cross-sectional study of 490, 288 UK biobank participants. Diabetes Care 37(9):2500–2507CrossRefPubMed Ntuk U, Gill J, Mackay D, Sattar N, Pell J (2014) Ethnic-specific obesity cutoffs for diabetes risk: cross-sectional study of 490, 288 UK biobank participants. Diabetes Care 37(9):2500–2507CrossRefPubMed
go back to reference Oaxaca RL (1973) Male-female wage differentials in urban labor markets. Int Econ Rev 14:693–709CrossRef Oaxaca RL (1973) Male-female wage differentials in urban labor markets. Int Econ Rev 14:693–709CrossRef
go back to reference Pinkston JC (2015) The dynamic effects of obesity on the wages of young workers. University of Louisville, Department of Economics, Louisville Pinkston JC (2015) The dynamic effects of obesity on the wages of young workers. University of Louisville, Department of Economics, Louisville
go back to reference Roodman D (2009) How to do xtabond2: an introduction to difference and system GMM in Stata. Stata J 9(1):86–136 Roodman D (2009) How to do xtabond2: an introduction to difference and system GMM in Stata. Stata J 9(1):86–136
go back to reference Sargent J, Blanchflower D (1994) Obesity and stature in adolescence and earnings in young adulthood. Analysis of a British birth cohort. Arch Pediatr Adolesc Med 148(7):681–687 681–687.147CrossRefPubMed Sargent J, Blanchflower D (1994) Obesity and stature in adolescence and earnings in young adulthood. Analysis of a British birth cohort. Arch Pediatr Adolesc Med 148(7):681–687 681–687.147CrossRefPubMed
go back to reference Sarlio-Lahteenkorva S, Lahelma E (1999) The association of body mass index with social and economic disadvantage in women and men. Int J of Epidemiol 28:445–449CrossRef Sarlio-Lahteenkorva S, Lahelma E (1999) The association of body mass index with social and economic disadvantage in women and men. Int J of Epidemiol 28:445–449CrossRef
go back to reference Sen B (2014) Using the Oaxaca–Blinder decomposition as an empirical tool to analyze racial disparities in obesity. Obesity 22(7):170–1755CrossRef Sen B (2014) Using the Oaxaca–Blinder decomposition as an empirical tool to analyze racial disparities in obesity. Obesity 22(7):170–1755CrossRef
go back to reference Some M, Rasheed N, Ohonba A (2016) The impact of obesity on employment in South Africa. Stud Econ Econ 40(2):87–104 Some M, Rasheed N, Ohonba A (2016) The impact of obesity on employment in South Africa. Stud Econ Econ 40(2):87–104
go back to reference Statistics South Africa (2014) Mid-year population estimates 2014. Statistics South Africa, Pretoria Statistics South Africa (2014) Mid-year population estimates 2014. Statistics South Africa, Pretoria
go back to reference Treasury N (2016) Taxation of sugar sweetened beverages, economics tax analysis chief directorate policy paper. Government of South Africa, Pretoria Treasury N (2016) Taxation of sugar sweetened beverages, economics tax analysis chief directorate policy paper. Government of South Africa, Pretoria
go back to reference Tugendhaft A, Hofman K (2014) Empowering healthy food and beverage choices in the workplace. Occupational Health Southern Africa 20(5) Tugendhaft A, Hofman K (2014) Empowering healthy food and beverage choices in the workplace. Occupational Health Southern Africa 20(5)
go back to reference Villar JG, Oreffice S & Quintana-Domeque C (2011) Physical Activity and Obesity in Spain: Evidence from the Spanish National Health Survey. The Economics of Sport, Health and Happiness: The Promotion of Well-being Through Sporting Activities Villar JG, Oreffice S & Quintana-Domeque C (2011) Physical Activity and Obesity in Spain: Evidence from the Spanish National Health Survey. The Economics of Sport, Health and Happiness: The Promotion of Well-being Through Sporting Activities
go back to reference Wittenberg M (2011) The weight of success: the body mass index and economic well-being in South Africa. School of Economics. SALDRU and Data First University of Cape Town, Cape Town Wittenberg M (2011) The weight of success: the body mass index and economic well-being in South Africa. School of Economics. SALDRU and Data First University of Cape Town, Cape Town
go back to reference Woolridge JM (2002) Econometric analysis of cross section and panel data. MIT Press, Cambridge (MA) Woolridge JM (2002) Econometric analysis of cross section and panel data. MIT Press, Cambridge (MA)
Metadata
Title
Obesity-based labour market discrimination in South Africa: a dynamic panel analysis
Authors
Junita Henry
Umakrishnan Kollamparambil
Publication date
01-12-2017
Publisher
Springer Berlin Heidelberg
Published in
Journal of Public Health / Issue 6/2017
Print ISSN: 2198-1833
Electronic ISSN: 1613-2238
DOI
https://doi.org/10.1007/s10389-017-0822-3

Other articles of this Issue 6/2017

Journal of Public Health 6/2017 Go to the issue