IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v112y2014icp72-79.html
   My bibliography  Save this article

Working time and cigarette smoking: Evidence from Australia and the United Kingdom

Author

Listed:
  • Angrave, David
  • Charlwood, Andy
  • Wooden, Mark

Abstract

Cigarette smoking is a risk factor in a range of serious diseases, including cardiovascular disease, cancer, stroke and type II diabetes. Theory suggests that working long hours will increase smoking propensities among workers. Consequently there is a significant body of evidence on the relationship between working time and smoking. Results, however, are inconsistent and therefore inconclusive. This paper provides new evidence on how working time affects smoking behaviour using nationally representative panel data from Australia (from 2002 to 2011) and the United Kingdom (from 1992 to 2011). We exploit the panel design of the surveys to look at within-person changes in smoking behaviour over time as working time changes. In contrast to most previous studies, this means we control for time invariant aspects of personality and genetic inheritance that may affect both smoking propensities and choice of working hours. We find that working long hours tends to increase the chances that former smokers will relapse, reduce the chances that smokers will quit and increase cigarette consumption among regular smokers, and that these effects tend to become more pronounced for workers who usually work very long hours (50 or more hours a week) compared to those who work moderately long hours (40–49 h a week).

Suggested Citation

  • Angrave, David & Charlwood, Andy & Wooden, Mark, 2014. "Working time and cigarette smoking: Evidence from Australia and the United Kingdom," Social Science & Medicine, Elsevier, vol. 112(C), pages 72-79.
    • Handle: RePEc:eee:socmed:v:112:y:2014:i:c:p:72-79
    DOI: 10.1016/j.socscimed.2014.04.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953614002627
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2014.04.031?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Mark Wooden & Diana Warren & Robert Drago, 2009. "Working Time Mismatch and Subjective Well‐being," British Journal of Industrial Relations, London School of Economics, vol. 47(1), pages 147-179, March.
    2. Nicole Watson & Mark Wooden, 2010. "Data Survey: The HILDA Survey: Progress and Future Developments," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(3), pages 326-336, September.
    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    4. Lallukka, Tea & Lahelma, Eero & Rahkonen, Ossi & Roos, Eva & Laaksonen, Elina & Martikainen, Pekka & Head, Jenny & Brunner, Eric & Mosdol, Annhild & Marmot, Michael & Sekine, Michikazu & Nasermoaddeli, 2008. "Associations of job strain and working overtime with adverse health behaviors and obesity: Evidence from the Whitehall II Study, Helsinki Health Study, and the Japanese Civil Servants Study," Social Science & Medicine, Elsevier, vol. 66(8), pages 1681-1698, April.
    5. Alex Bryson & George MacKerron, 2017. "Are You Happy While You Work?," Economic Journal, Royal Economic Society, vol. 127(599), pages 106-125, February.
    6. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
    7. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    8. Lynn, Peter & Burton, Jonathan & Kaminska, Olena & Knies, Gundi & Nandi, Alita, 2012. "An initial look at non-response and attrition in Understanding Society," Understanding Society Working Paper Series 2012-02, Understanding Society at the Institute for Social and Economic Research.
    9. Macy, Jonathan T. & Chassin, Laurie & Presson, Clark C., 2013. "Predictors of health behaviors after the economic downturn: A longitudinal study," Social Science & Medicine, Elsevier, vol. 89(C), pages 8-15.
    10. Nijman, T.E. & Verbeek, M.J.C.M., 1992. "Testing for selectivity in panel data models," Other publications TiSEM 7ec34a6c-1d84-4052-971c-d, Tilburg University, School of Economics and Management.
    11. Mark Wooden & Ning Li, 2014. "Panel Conditioning and Subjective Well-being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 235-255, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zazdravnykh, Evgeniy & Rodionova, Tatiana & Taraskina, Elena & Garipova, Farida, 2023. "The effects of occupational hazards and health-related behavior on workers’ health: A multivariate probit approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 76-98.
    2. Hu, Zhi-An & Liu, Chang & Wen, Yiping, 2024. "Working hours and employee health: Evidence from China's workweek reduction policy," Labour Economics, Elsevier, vol. 88(C).
    3. Berniell, Inés & Bietenbeck, Jan, 2020. "The effect of working hours on health," Economics & Human Biology, Elsevier, vol. 39(C).
    4. Mark Wooden, 2021. "Job Characteristics and the Changing Nature of Work," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 494-505, December.
    5. Golden, Shelley D. & Perreira, Krista M., 2015. "Losing jobs and lighting up: Employment experiences and smoking in the Great Recession," Social Science & Medicine, Elsevier, vol. 138(C), pages 110-118.
    6. Eun-Hye Lee & Sun-Hwa Shin & Goo-Churl Jeong, 2022. "Smoking Awareness and Intention to Quit Smoking in Smoking Female Workers: Secondary Data Analysis," IJERPH, MDPI, vol. 19(5), pages 1-13, March.

    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. Badi H. Baltagi, 1999. "Specification Tests in Panel Data Models Using Artificial Regressions," Annals of Economics and Statistics, GENES, issue 55-56, pages 277-297.
    2. Bartolucci, Francesco & Belotti, Federico & Peracchi, Franco, 2015. "Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data," Journal of Econometrics, Elsevier, vol. 184(1), pages 111-123.
    3. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    5. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    6. E. Michael Foster & Leonard Bickman, 1996. "An Evaluator's Guide To Detecting Attrition Problems," Evaluation Review, , vol. 20(6), pages 695-723, December.
    7. Melisa Bubonya & Deborah A. Cobb-Clark & Mark Wooden, 2017. "Job loss and the mental health of spouses and adolescent children," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-27, December.
    8. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    9. Thomas Hutzschenreuter & Fabian Guenther, 2009. "Complexity as a constraint on firm expansion within and across industries," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 373-392.
    10. Joan Costa‐Font & Cristina Vilaplana‐Prieto, 2020. "‘More than one red herring'? Heterogeneous effects of ageing on health care utilisation," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 8-29, October.
    11. Paula K. Lorgelly & Joanne Lindley, 2008. "What is the relationship between income inequality and health? Evidence from the BHPS," Health Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 249-265, February.
    12. Robert Jäckle & Oliver Himmler, 2010. "Health and Wages: Panel Data Estimates Considering Selection and Endogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 45(2).
    13. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    14. repec:zbw:rwirep:0020 is not listed on IDEAS
    15. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    16. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
    17. Fertig, Michael & Schurer, Stefanie, 2007. "Labour Market Outcomes of Immigrants in Germany: The Importance of Heterogeneity and Attrition Bias," IZA Discussion Papers 2915, Institute of Labor Economics (IZA).
    18. Jalal El Ouardighi, 2005. "La spécialisation des activités technologiques des régions européennes : une approche empirique de la convergence," Discussion Papers (REL - Recherches Economiques de Louvain) 2005033, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    19. Benzeval, Michaela & Davillas, Apostolos & M. Jones, Andrew, 2017. "The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income," ISER Working Paper Series 2017-03, Institute for Social and Economic Research.
    20. Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.
    21. Mark Wooden & Ning Li, 2014. "Panel Conditioning and Subjective Well-being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 235-255, May.

    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:eee:socmed:v:112:y:2014:i:c:p:72-79. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.