IDEAS home Printed from https://ideas.repec.org/a/taf/specan/v14y2019i4p425-445.html
   My bibliography  Save this article

Body mass index and social interactions from adolescence to adulthood

Author

Listed:
  • Luisa Corrado
  • Roberta Distante
  • Majlinda Joxhe

Abstract

A dynamic linear-in-means model is applied in order to analyse the importance of social ties for the body weight-related behaviour of US youth. The methodology shows how to estimate peer effects free of the ‘reflection problem’ in a dynamic context where individual and group-specific unobservable effects are controlled for. The results show that the main drivers for the body weight-related behaviour are past and peer effects. For individuals who were normal weight or obese during adolescence, past and peer effects are shown to be both relevant. Peer effects, instead, explain more the variation in the body mass index (BMI) for individuals who were overweight during adolescence, showing in this way the importance of social interactions for body weight-related behaviour.

Suggested Citation

  • Luisa Corrado & Roberta Distante & Majlinda Joxhe, 2019. "Body mass index and social interactions from adolescence to adulthood," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(4), pages 425-445, October.
    • Handle: RePEc:taf:specan:v:14:y:2019:i:4:p:425-445
    DOI: 10.1080/17421772.2019.1626020
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17421772.2019.1626020
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17421772.2019.1626020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. de Paula, Aureo & Rasul, Imran & Souza, Pedro, 2018. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," CEPR Discussion Papers 12792, C.E.P.R. Discussion Papers.
    2. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    3. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    4. Fortin, Bernard & Yazbeck, Myra, 2015. "Peer effects, fast food consumption and adolescent weight gain," Journal of Health Economics, Elsevier, vol. 42(C), pages 125-138.
    5. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    6. Davezies, Laurent & D'Haultfoeuille, Xavier & Fougère, Denis, 2006. "Identification of Peer Effects Using Group Size Variation," IZA Discussion Papers 2324, Institute of Labor Economics (IZA).
    7. repec:pri:cheawb:case_paxson_economic_status_paper is not listed on IDEAS
    8. Lindeboom, Maarten & Llena-Nozal, Ana & van der Klaauw, Bas, 2009. "Parental education and child health: Evidence from a schooling reform," Journal of Health Economics, Elsevier, vol. 28(1), pages 109-131, January.
    9. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1239-1267.
    10. William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 235-260.
    11. Arthur Lewbel, 1997. "Constructing Instruments for Regressions with Measurement Error when no Additional Data are Available, with an Application to Patents and R&D," Econometrica, Econometric Society, vol. 65(5), pages 1201-1214, September.
    12. Cohen-Cole, Ethan & Fletcher, Jason M., 2008. "Is obesity contagious? Social networks vs. environmental factors in the obesity epidemic," Journal of Health Economics, Elsevier, vol. 27(5), pages 1382-1387, September.
    13. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    14. repec:pri:cheawb:case_paxson_economic_status_paper.pdf is not listed on IDEAS
    15. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
    16. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    17. Laurent Davezies & Xavier D'Haultfoeuille & Denis Fougère, 2009. "Identification of peer effects using group size variation," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 397-413, November.
    18. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    19. Mary A. Burke & Frank Heiland, 2007. "Social Dynamics Of Obesity," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 571-591, July.
    20. Bond, Stephen & Bowsher, Clive & Windmeijer, Frank, 2001. "Criterion-based inference for GMM in autoregressive panel data models," Economics Letters, Elsevier, vol. 73(3), pages 379-388, December.
    21. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    22. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    23. Lee, Lung-fei, 2007. "Identification and estimation of econometric models with group interactions, contextual factors and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 333-374, October.
    24. Áureo de Paula & Imran Rasul & Pedro CL Souza, 2018. "Recovering social networks from panel data: identification, simulations and an application," CeMMAP working papers CWP58/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Tomas Philipson, 2001. "The world‐wide growth in obesity: an economic research agenda," Health Economics, John Wiley & Sons, Ltd., vol. 10(1), pages 1-7, January.
    27. David J. Mckenzie, 2001. "Estimation of AR(1) models with unequally spaced pseudo-panels," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 1-40.
    28. Andreyeva, Tatiana & Kelly, Inas Rashad & Harris, Jennifer L., 2011. "Exposure to food advertising on television: Associations with children's fast food and soft drink consumption and obesity," Economics & Human Biology, Elsevier, vol. 9(3), pages 221-233, July.
    29. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic Status and Health in Childhood: The Origins of the Gradient," American Economic Review, American Economic Association, vol. 92(5), pages 1308-1334, December.
    30. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
    31. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    32. Graham, Bryan S. & Hahn, Jinyong, 2005. "Identification and estimation of the linear-in-means model of social interactions," Economics Letters, Elsevier, vol. 88(1), pages 1-6, July.
    33. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    34. Cohen-Cole, Ethan, 2006. "Multiple groups identification in the linear-in-means model," Economics Letters, Elsevier, vol. 92(2), pages 157-162, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luisa Corrado & Roberta Distante, 2012. "Eating Behavior and Social Interactions from Adolescence to Adulthood," Discussion Papers 12-03, University of Copenhagen. Department of Economics.
    2. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 601-620, June.
    3. Yilmaz Kiliçaslan & Ünal Töngür, 2017. "Information and Communication Technologies and Employment Generation in Turkish Manufacturing Industry," Working Papers 1120, Economic Research Forum, revised 07 2017.
    4. Ilina Srour & Erol Taymaz & Marco Vivarelli, 2014. "Globalization, Technology and Skills: Evidence from Turkish Longitudinal Microdata," ERC Working Papers 1405, ERC - Economic Research Center, Middle East Technical University, revised Jun 2014.
    5. Elena Meschi & Erol Taymaz & Marco Vivarelli, 2016. "Globalization, technological change and labor demand: a firm-level analysis for Turkey," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(4), pages 655-680, November.
    6. Ilina Srour & Marco Vivarelli & Erol Taymaz, 2013. "Technological Change and Skill-based Employment Disparities: Evidence from Turkey," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1393, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    7. Srour, Ilina & Taymaz, Erol & Vivarelli, Marco, 2013. "Skill-Biased Technological Change and Skill-Enhancing Trade in Turkey: Evidence from Longitudinal Microdata," IZA Discussion Papers 7320, Institute of Labor Economics (IZA).
    8. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    9. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    10. Ünal Töngür & Adem Yavuz Elveren, 2017. "The nexus of economic growth, military expenditures, and income inequality," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1821-1842, July.
    11. Martinsson, Gustav, 2009. "Finance and R&D Investments - is there a debt overhang effect on R&D investments?," Working Paper Series in Economics and Institutions of Innovation 174, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    12. Xiuyan Liu & Xingmin Yin, 2010. "Spatial externalities and regional income inequality: Evidence from China’s prefecture-level data," Frontiers of Economics in China, Springer;Higher Education Press, vol. 5(2), pages 325-338, June.
    13. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    14. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    15. Yongfu Huang, 2011. "Private investment and financial development in a globalized world," Empirical Economics, Springer, vol. 41(1), pages 43-56, August.
    16. Alvina Sabah Idrees & Saima Sarwar, 2021. "State effectiveness, property rights and entrepreneurial behaviour as determinants of National Innovation," Australian Economic Papers, Wiley Blackwell, vol. 60(3), pages 392-423, September.
    17. Eduardo A. Cavallo & Alberto Cavallo, 2008. "Are Crises Good for Long-Term Growth? The Role of Political Institutions," Research Department Publications 4589, Inter-American Development Bank, Research Department.
    18. Predrag Bjelić & Danijela Jaćimović & Ivan Tašić, 2013. "Effects Of The World Economic Crisis On Exports In The Ceec: Focus On The Western Balkans," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(196), pages 71-98, January –.
    19. Brenes Muñoz, Thelma & Lakner, Sebastian & Brümmer, Bernhard, 2012. "Economic growth of farms: An empirical analysis on organic farming," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126756, International Association of Agricultural Economists.
    20. Cavallo, Alberto F. & Cavallo, Eduardo A., 2010. "Are crises good for long-term growth? The role of political institutions," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 838-857, September.

    More about this item

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • D10 - Microeconomics - - Household Behavior - - - General
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:specan:v:14:y:2019:i:4:p:425-445. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RSEA20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.