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Peer Networks and Tobacco Consumption in South Africa

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  • Alfred K. Mukong

Abstract

This paper deepens the empirical analysis of peer networks by considering simultaneously their eff ects smoking participation and smoking intensity. Peer network is key in determining the smoking behaviour of youths, but the magnitude of the e ffects is still debated, questioned and inconclusive. I used a control function approach, a two-step least square and the fixed e […]

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  • Alfred K. Mukong, 2016. "Peer Networks and Tobacco Consumption in South Africa," Working Papers 586, Economic Research Southern Africa.
    • Handle: RePEc:rza:wpaper:586
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    References listed on IDEAS

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    1. Peter Kooreman & Adriaan R. Soetevent, 2007. "A discrete-choice model with social interactions: with an application to high school teen behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 599-624.
    2. Gordon B. Dahl & Katrine V. L?ken & Magne Mogstad, 2014. "Peer Effects in Program Participation," American Economic Review, American Economic Association, vol. 104(7), pages 2049-2074, July.
    3. Krauth, Brian V., 2007. "Peer and Selection Effects on Youth Smoking in California," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 288-298, July.
    4. Burns, Justine & Godlonton, Susan & Keswell, Malcolm, 2010. "Social networks, employment and worker discouragement: Evidence from South Africa," Labour Economics, Elsevier, vol. 17(2), pages 336-344, April.
    5. R. Duarte & J. Escario & J. Molina, 2014. "Are estimated peer effects on smoking robust? Evidence from adolescent students in Spain," Empirical Economics, Springer, vol. 46(3), pages 1167-1179, May.
    6. Edward C. Norton & Richard C. Lindrooth & Susan T. Ennett, 1998. "Controlling for the endogeneity of peer substance use on adolescent alcohol and tobacco use," Health Economics, John Wiley & Sons, Ltd., vol. 7(5), pages 439-453, August.
    7. Vardardottir, Arna, 2013. "Peer effects and academic achievement: a regression discontinuity approach," Economics of Education Review, Elsevier, vol. 36(C), pages 108-121.
    8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    9. Ryo Nakajima, 2007. "Measuring Peer Effects on Youth Smoking Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 897-935.
    10. Silles, Mary, 2015. "The causal effect of schooling on smoking behavior," Economics of Education Review, Elsevier, vol. 48(C), pages 102-116.
    11. Marianne Bertrand & Erzo F. P. Luttmer & Sendhil Mullainathan, 2000. "Network Effects and Welfare Cultures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 1019-1055.
    12. Jason M. Fletcher, 2010. "Social interactions and smoking: evidence using multiple student cohorts, instrumental variables, and school fixed effects," Health Economics, John Wiley & Sons, Ltd., vol. 19(4), pages 466-484, April.
    13. Deri, Catherine, 2005. "Social networks and health service utilization," Journal of Health Economics, Elsevier, vol. 24(6), pages 1076-1107, November.
    14. Willem H. Boshoff, 2008. "Cigarette Demand In South Africa Over 1996‐2006: The Role Of Price, Income And Health Awareness," South African Journal of Economics, Economic Society of South Africa, vol. 76(1), pages 118-131, March.
    15. Kwon, Illoong & Jun, Daesung, 2015. "Information disclosure and peer effects in the use of antibiotics," Journal of Health Economics, Elsevier, vol. 42(C), pages 1-16.
    16. Shin-Yi Chou & Echu Liu & Min-Jen Lin & Jin-Tan Liu, 2015. "Better peers, better scores? A study of twin junior high school graduates in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 47(32), pages 3462-3481, July.
    17. Balia, Silvia & Jones, Andrew M., 2008. "Mortality, lifestyle and socio-economic status," Journal of Health Economics, Elsevier, vol. 27(1), pages 1-26, January.
    18. Jason Fletcher, 2012. "Peer influences on adolescent alcohol consumption: evidence using an instrumental variables/fixed effect approach," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1265-1286, October.
    19. C.P. Van Walbeek*, 1996. "Excise Taxes on Tobacco: How Much Scope does the Government Have?," South African Journal of Economics, Economic Society of South Africa, vol. 64(1), pages 12-23, March.
    20. Fowler, J.H. & Christakis, N.A., 2008. "Estimating peer effects on health in social networks: A response to Cohen-Cole and Fletcher; and Trogdon, Nonnemaker, and Pais," Journal of Health Economics, Elsevier, vol. 27(5), pages 1400-1405, September.
    21. Horrace, William C. & Oaxaca, Ronald L., 2006. "Results on the bias and inconsistency of ordinary least squares for the linear probability model," Economics Letters, Elsevier, vol. 90(3), pages 321-327, March.
    22. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    23. Philip Oreopoulos, 2003. "The Long-Run Consequences of Living in a Poor Neighborhood," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1533-1575.
    24. Powell, Lisa M. & Tauras, John A. & Ross, Hana, 2005. "The importance of peer effects, cigarette prices and tobacco control policies for youth smoking behavior," Journal of Health Economics, Elsevier, vol. 24(5), pages 950-968, September.
    25. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    26. Jeffrey Parker, 2012. "Does Living Near Classmates Help Introductory Economics Students Get Better Grades?," The Journal of Economic Education, Taylor & Francis Journals, vol. 43(2), pages 149-164, April.
    27. McVicar, Duncan, 2011. "Estimates of peer effects in adolescent smoking across twenty six European Countries," Social Science & Medicine, Elsevier, vol. 73(8), pages 1186-1193.
    28. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    29. Alfred K. Mukong & Justine Burns, 2015. "Social networks and maternal health care utilisation in Tanzania," Working Papers 540, Economic Research Southern Africa.
    30. Iraj Abedian & Rowena Jacobs, 2001. "Tobacco taxes and government revenue in South Africa," Journal of Economic Studies, Emerald Group Publishing, vol. 28(6), pages 397-407, October.
    31. Duncan McVicar & Arnold Polanski, 2014. "Peer Effects in UK Adolescent Substance Use: Never Mind the Classmates?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(4), pages 589-604, August.
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    Cited by:

    1. Alfred K. Mukong & Ernest N. Tingum, 2018. "The Demand for Cigarettes: New Evidence from South Africa," Working Papers 745, Economic Research Southern Africa.

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    More about this item

    Keywords

    Consumer Behavior; Quantitative Methods; South Africa; Tobacco;
    All these keywords.

    JEL classification:

    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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