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Love Conquers all but Nicotine: Spousal Peer Effects on the Decision to Quit Smoking

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  • Ali Palali
  • Jan C. Van ours

Abstract

If two partners smoke, their quit behavior may be related through correlation in unobserved individual characteristics and through common shocks. However, there may also be a causal effect whereby the quit behavior of one partner is affected by the quit decision of the other partner. If so, there is a spousal peer effect on the decision to quit smoking. We use data containing retrospective information of Dutch partnered individuals about their age of onset of smoking and their age of quitting smoking. We estimate mixed proportional hazard models of starting rates and quit rates of smoking in which we allow unobserved heterogeneity to be correlated across partners. Using a timing of events approach, we determine whether the quitting‐to‐smoke decision of one partner has a causal effect on the quitting‐to‐smoke decision of the other partner. We find no evidence of substantial spousal peer effects in the decision to quit smoking. Apparently, love conquers all but nicotine addiction. Copyright © 2017 John Wiley & Sons, Ltd.

Suggested Citation

  • Ali Palali & Jan C. Van ours, 2017. "Love Conquers all but Nicotine: Spousal Peer Effects on the Decision to Quit Smoking," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1710-1727, December.
    • Handle: RePEc:wly:hlthec:v:26:y:2017:i:12:p:1710-1727
    DOI: 10.1002/hec.3489
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    Cited by:

    1. Angelini, Viola & Costa-Font, Joan, 2023. "Health and wellbeing spillovers of a partner's cancer diagnosis," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 422-437.
    2. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
    3. Yazbeck M & Xu H & Azocar F & Ettner SL, 2020. "Spousal Peer Effects in Specialty Behavioral Health Services Use: Do Spillovers Vary by Gender, Subscriber Status and Sexual Orientation?," Discussion Papers Series 630, School of Economics, University of Queensland, Australia.
    4. Kokot, Johanna, 2017. "Does a spouse's health shock influence the partner's risk attitudes?," Ruhr Economic Papers 707, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Rose, C.; & Williams, J.; & Bretteville-Jensen, A.L.;, 2024. "Do Peers Support or Subvert Recovery from Substance Use Disorders," Health, Econometrics and Data Group (HEDG) Working Papers 24/18, HEDG, c/o Department of Economics, University of York.

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    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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