You are not permitted to access the full text of articles.
If you have any questions about permissions,
please contact the Society.
νμλμ λ Όλ¬Έ μ΄μ© κΆνμ΄ μμ΅λλ€.
κΆν κ΄λ ¨ λ¬Έμλ ννλ‘ λΆν λλ¦½λλ€.
|[ Article ]|
|Seoul Journal of Economics - Vol. 34, No. 2, pp.155-169|
|ISSN: 1225-0279 (Print)|
|Print publication date 30 May 2021|
|Received 03 Mar 2020 Revised 30 Apr 2020 Accepted 20 Aug 2020|
|The Distributional Effect of Education on Body Mass|
Young-Joo Kim ; Vince Daly
|Young-Joo Kim, Associate Professor, Department of Economics, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul, 04066, Korea, Tel: 82-2-320-1759 (firstname.lastname@example.org)|
|Vince Daly, Professor Emeritus, Department of Economics, Kingston University, 55-59 Penrhyn Rd, Kingston upon Thames KT1 2EE, U.K., Tel: 44-208-417-9000 (email@example.com)|
Funding Information ▼
JEL Classification: I12, I14, I26
We investigate the effect of education on mid-life obesity, with particular attention to potential heterogeneity across the Body Mass Index (BMI) distribution. Applying quantile regression methods to British men and women, we first find that childhood and parental BMI are critical determinants of obesity in middle age. We then establish that even when controlling for various weight-related factors in childhood and a potential endogeneity bias, a higher education level reduces the probability of being obese in middle age. We show that this education effect is obtained by a compression of the distribution of BMI (kg/m2) and a shifting of its center leftward toward a more healthy BMI range. We further show that income and physical activity are important channels of the education effect, and the significant effect of education at the upper quantile of the BMI distribution is neither a disguised income effect nor a healthy behavior effect.
|Keywords: Obesity, Body Mass Index, Education, Quantile regression
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017S1A5A8019707 & NRF-2020S1A5A2A03046422).
|1.||Abadie, A., J. Angrist, and G. Imbens. “Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings” Econometrica 70 (No. 1 2002): 91-117.
|2.||Böckerman, P., J. Viinikainen, L. Pulkki-Råback, C. Hakulinen, N. Pitkänen, T. Lehtimäki, J. Pehkonen, O. T. Raitakari. “Does Higher Education Protect Against Obesity? Evidence using Mendelian Randomization.” Preventive Medicine 101 (2017): 195-98.
|3.||Brunello, G., D. Fabbri, and M. Fort. “The Causal Effect of Education on Body Mass: Evidence from Europe.” Journal of Labor Economics 31 (No. 1 2013): 195-223.
|4.||Classen, T. J., and O. Thompson. “Genes and the Intergenerational Transmission of BMI and Obesity.” Economics and Human Biology 23 (2016): 121-33.
|5.||Cutler, D.M. and A. Lleras-Muney. “Education and Health: Evaluating Theories and Evidence.” House, J., R. Schoeni, G. Kaplan, and H. Pollack (eds), Making Americans Healthier: Social and Economic Policy as Health Policy. New York: Russell Sage Foundation. 2008.|
|6.||Elks, C.E., M. Den Hoed, J. H. Zhao, S. J. Sharp, N. J. Wareham, R. J. Loos, and K. K. Ong. “Variability in the heritability of body mass index: a systematic review and meta-regression.” Frontiers in endocrinology 3 (No. 29 2012): 1-16.
|7.||Frölich, M. and B. Melly. “Estimation of Quantile Treatment Effects with Stata.” The Stata Journal 10 (No. 3 2010): 423-57.
|8.||Gatineau, M., Hancock, C., Holman, N., Outhwaite, H., Oldridge, L., Christie, A., & Ells, L. Adult obesity and type 2 diabetes. Public Health England (2014): 5-14.|
|9.||Guh, D. P., W. Zhang, N. Bansback, Z. Amarsi, C. L. Birmingham, and A. H. Anis. “The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis.” BMC Public Health 9 (No. 1 2009): 88.
|10.||Jung, U. J., and M. S. Choi. “Obesity and its metabolic complications: the role of adipokines and the relationship between obesity, inflammation, insulin resistance, dyslipidemia and nonalcoholic fatty liver disease.” International Journal of Molecular Science 15 (No. 4 2014): 6184-6223.
|11.||Kemptner, D., H. Jurges, and S. Reinhold. “Changes in Compulsory Schooling and the Causal Effect of Education on Health: Evidence from Germany.” Journal of Health Economics 30 (No. 2 2011): 340-354.
|12.||Kim, Y-J. “The Long-Run Effect of Education on Obesity in the US.” Economics and Human Biology 21 (2016): 100-109.
|13.||Koenker, Roger and G. Bassett, Jr. “Regression Quantiles.” Econometrica 46 (No. 1 1978): 33-50.
|14.||Koenker, R. “Quantile Regression.” Econometric Society Monograph Series, Cambridge University Press. 2005.
|15.||Peeters, A., J. J. Barendregt, F. Willekens, F., J. P. Mackenbach, A. A. Mamun, and L. Bonneux. “Obesity in adulthood and its consequences for life expectancy: a life-table analysis.” Annals of internal medicine 138 (No. 1 2003): 24-32.
|16.||Renehan, A. G., M. Tyson, M. Egger, R. F. Heller, and M. Zwahlen. “Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies.” Lancet 371 (No. 9612 2008): 569-578.
|17.||Sacerdote, B. “How Large Are the Effects from Changes in Family Environment? A Study of Korean American Adoptees.” The Quarterly Journal of Economics 122 (No. 1 2007): 119-57.
|18.||Vogler, G. P., T. I. Sorensen, A. J. Stunkard, M. R. Srinivasan, and D. C. Rao. “Influences of Genes and Shared Family Environment on Adult Body Mass Index Assessed in an Adoption Study by a Comprehensive Path Model.” International Journal of Obesity and Related Metabolic Disorders: Journal of the International Association for the Study of Obesity 19 (No. 1 1995): 40-45.|
|19.||World Health Organization. Prevalence of Obesity among Adults, agestandardized. 2020. (https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/prevalence-of-obesity-agestandardized,accessed July 1, 2020.)|
|20.||Yatchew, Adonis and Z. Griliches. “Specification Error in Probit Models.” Review of Economics and Statistics 67 (No. 1 1985): 134-139.
Editorial Office, Seoul Journal of Economics, Institute of Economic Research, Seoul National University 599 Gwanangno, Gwanak-gu, Seoul 151-746, Korea
Tel: +82-2-880-5434 | Fax: +82-2-888-4454 | E-mail: firstname.lastname@example.org
Copyright (c) 2020 SJE. All rights reserved.