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Hysteresis in Addictive Consumption Depends on Time Preferences

Author

Listed:
  • Sophie Massin

    (LEM - Laboratoire d'Economie et de Management - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

  • Phu Nguyen-Van

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Dimitri Dubois

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Marc Willinger

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Bruno Ventelou

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

How can individuals who have experienced a shock in their addictive consumption trajectories return to their habitual use? As part of a behavioral economics online survey conducted on a representative sample of the French population, we asked respondents to retrospectively quantify their consumption of tobacco, alcohol, and recreational screen use at three moments: before, during, and after the first Covid-19 lockdown. Using a methodology that controls for inter-individual heterogeneity, we test for the presence of a hysteresis effect, i.e. whether the shocks in use that occurred during the lockdown last beyond the end of it and the return to a more normal life. We find persistent hysteresis for the three addictive goods. Studying this hysteresis effect in relation to time preferences, we find that, for tobacco, present-biased individuals exhibit more hysteresis. This hysteresis insight, related to time preferences, offers valuable perspectives for addiction research and policy design addressing population resilience to shocks.

Suggested Citation

  • Sophie Massin & Phu Nguyen-Van & Dimitri Dubois & Marc Willinger & Bruno Ventelou, 2025. "Hysteresis in Addictive Consumption Depends on Time Preferences," Working Papers hal-05266721, HAL.
  • Handle: RePEc:hal:wpaper:hal-05266721
    Note: View the original document on HAL open archive server: https://hal.science/hal-05266721v1
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    1. Taisuke Imai & Tom A Rutter & Colin F Camerer, 2021. "Meta-Analysis of Present-Bias Estimation using Convex Time Budgets," The Economic Journal, Royal Economic Society, vol. 131(636), pages 1788-1814.
    2. Garga, Vaishali & Singh, Sanjay R., 2021. "Output hysteresis and optimal monetary policy," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 871-886.
    3. Thomas Palley, 2023. "Broadening the application of hysteresis in economics: institutions, policy lock-in, psychology, identity, and ideas," Review of Keynesian Economics, Edward Elgar Publishing, vol. 11(4), pages 460-488, November.
    4. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    5. Saez, Emmanuel & Schoefer, Benjamin & Seim, David, 2021. "Hysteresis from employer subsidies," Journal of Public Economics, Elsevier, vol. 200(C).
    6. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    7. Clot, Sophie & Grolleau, Gilles & Ibanez, Lisette, 2018. "Shall we pay all? An experimental test of Random Incentivized Systems," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 73(C), pages 93-98.
    8. Piccoli, Luca & Tiezzi, Silvia, 2021. "Rational addiction and time-consistency: An empirical test," Journal of Health Economics, Elsevier, vol. 80(C).
    9. Uttara Balakrishnan & Johannes Haushofer & Pamela Jakiela, 2020. "How soon is now? Evidence of present bias from convex time budget experiments," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 294-321, June.
    10. O’Donoghue, Ted & Rabin, Matthew, 2002. "Addiction and Present-Biased Preferences," Department of Economics, Working Paper Series qt3v86x53j, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    11. Hélène Rossinot & Romain Fantin & Julien Venne, 2020. "Behavioral Changes During COVID-19 Confinement in France: A Web-Based Study," IJERPH, MDPI, vol. 17(22), pages 1-15, November.
    12. Lohmann, Paul M. & Gsottbauer, Elisabeth & You, Jing & Kontoleon, Andreas, 2023. "Anti-social behaviour and economic decision-making: Panel experimental evidence in the wake of COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 136-171.
    13. Erin A. Vogel & Lisa Henriksen & Nina C. Schleicher & Judith J. Prochaska, 2021. "Perceived Susceptibility to and Seriousness of COVID-19: Associations of Risk Perceptions with Changes in Smoking Behavior," IJERPH, MDPI, vol. 18(14), pages 1-14, July.
    14. Thaler, Richard, 1981. "Some empirical evidence on dynamic inconsistency," Economics Letters, Elsevier, vol. 8(3), pages 201-207.
    15. Eckel, Catherine C. & El-Gamal, Mahmoud A. & Wilson, Rick K., 2009. "Risk loving after the storm: A Bayesian-Network study of Hurricane Katrina evacuees," Journal of Economic Behavior & Organization, Elsevier, vol. 69(2), pages 110-124, February.
    16. Thierry Blayac & Dimitri Dubois & Sebastien Duchene & Phu Nguyen-Van & Ismael Rafai & Bruno Ventelou & Marc Willinger, 2022. "Nudging for lockdown: behavioural insights from an online experiment," Post-Print hal-03635150, HAL.
    17. Rafaï, Ismaël & Blayac, Thierry & Dubois, Dimitri & Duchêne, Sébastien & Nguyen-Van, Phu & Ventelou, Bruno & Willinger, Marc, 2023. "Stated preferences outperform elicited preferences for predicting reported compliance with COVID-19 prophylactic measures," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    18. Shachat, Jason & Walker, Matthew J. & Wei, Lijia, 2021. "How the onset of the Covid-19 pandemic impacted pro-social behaviour and individual preferences: Experimental evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 480-494.
    19. Fatás, Antonio & Summers, Lawrence H., 2018. "The permanent effects of fiscal consolidations," Journal of International Economics, Elsevier, vol. 112(C), pages 238-250.
    20. Engler, Philipp & Tervala, Juha, 2018. "Hysteresis and fiscal policy," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 39-53.
    21. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    22. Olivier J. Blanchard & Lawrence H. Summers, 1986. "Hysteresis and the European Unemployment Problem," NBER Chapters, in: NBER Macroeconomics Annual 1986, Volume 1, pages 15-90, National Bureau of Economic Research, Inc.
    23. Cassar, Alessandra & Healy, Andrew & von Kessler, Carl, 2017. "Trust, Risk, and Time Preferences After a Natural Disaster: Experimental Evidence from Thailand," World Development, Elsevier, vol. 94(C), pages 90-105.
    24. Phu Nguyen-Van & Thierry Blayac & Dimitri Dubois & Sebastien Duchene & Ismael Rafai & Bruno Ventelou & Marc Willinger, 2022. "Nudging for lockdown: behavioural insights from an online experiment," Working Papers hal-04159813, HAL.
    25. Stephen L. Cheung, 2015. "Risk Preferences Are Not Time Preferences: On the Elicitation of Time Preference under Conditions of Risk: Comment," American Economic Review, American Economic Association, vol. 105(7), pages 2242-2260, July.
    26. Myong‐Il Kang & Shinsuke Ikeda, 2014. "Time Discounting And Smoking Behavior: Evidence From A Panel Survey," Health Economics, John Wiley & Sons, Ltd., vol. 23(12), pages 1443-1464, December.
    27. Stephen L. Cheung & Agnieszka Tymula & Xueting Wang, 2022. "Present bias for monetary and dietary rewards," Experimental Economics, Springer;Economic Science Association, vol. 25(4), pages 1202-1233, September.
    28. James Andreoni & Charles Sprenger, 2012. "Estimating Time Preferences from Convex Budgets," American Economic Review, American Economic Association, vol. 102(7), pages 3333-3356, December.
    29. Maarten J. Voors & Eleonora E. M. Nillesen & Philip Verwimp & Erwin H. Bulte & Robert Lensink & Daan P. Van Soest, 2012. "Violent Conflict and Behavior: A Field Experiment in Burundi," American Economic Review, American Economic Association, vol. 102(2), pages 941-964, April.
    30. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    31. Page, Lionel & Savage, David A. & Torgler, Benno, 2014. "Variation in risk seeking behaviour following large losses: A natural experiment," European Economic Review, Elsevier, vol. 71(C), pages 121-131.
    32. Khwaja, Ahmed & Silverman, Dan & Sloan, Frank, 2007. "Time preference, time discounting, and smoking decisions," Journal of Health Economics, Elsevier, vol. 26(5), pages 927-949, September.
    33. Gloede, Oliver & Menkhoff, Lukas & Waibel, Hermann, 2015. "Shocks, Individual Risk Attitude, and Vulnerability to Poverty among Rural Households in Thailand and Vietnam," World Development, Elsevier, vol. 71(C), pages 54-78.
    34. Salvatore Di Falco & Ferdinand M Vieider, 2022. "Environmental Adaptation of Risk Preferences," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2737-2766.
    35. Lisa Cameron & Manisha Shah, 2015. "Risk-Taking Behavior in the Wake of Natural Disasters," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 484-515.
    36. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    37. Cheung, Stephen L. & Tymula, Agnieszka & Wang, Xueting, 2021. "Quasi-Hyperbolic Present Bias: A Meta-Analysis," IZA Discussion Papers 14625, Institute of Labor Economics (IZA).
    38. Wooldridge, Jeffrey M., 2019. "Correlated random effects models with unbalanced panels," Journal of Econometrics, Elsevier, vol. 211(1), pages 137-150.
    39. Chie Hanaoka & Hitoshi Shigeoka & Yasutora Watanabe, 2018. "Do Risk Preferences Change? Evidence from the Great East Japan Earthquake," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 298-330, April.
    40. Andrea Tafuro, 2024. "Lagging behind: the hysteresis of austerity," Empirical Economics, Springer, vol. 66(1), pages 327-368, January.
    41. Carrillo, Juan D., 2005. "To be consumed with moderation," European Economic Review, Elsevier, vol. 49(1), pages 99-111, January.
    42. Starmer, Chris & Sugden, Robert, 1991. "Does the Random-Lottery Incentive System Elicit True Preferences? An Experimental Investigation," American Economic Review, American Economic Association, vol. 81(4), pages 971-978, September.
    43. Abatayo, Anna Lou & Lynham, John, 2020. "Risk preferences after a typhoon: An artefactual field experiment with fishers in the Philippines," Journal of Economic Psychology, Elsevier, vol. 79(C).
    44. Prissé, Benjamin & Jorrat, Diego, 2022. "Lab vs online experiments: No differences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    45. Akesaka, Mika, 2019. "Change in time preferences: Evidence from the Great East Japan Earthquake," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 239-245.
    46. Filipski, Mateusz & Jin, Ling & Zhang, Xiaobo & Chen, Kevin Z., 2019. "Living like there’s no tomorrow: The psychological effects of an earthquake on savings and spending behavior," European Economic Review, Elsevier, vol. 116(C), pages 107-128.
    47. Anis Sfendla & Kourosh Bador & Michela Paganelli & Nóra Kerekes, 2022. "Swedish High School Students’ Drug and Alcohol Use Habits throughout 2020," IJERPH, MDPI, vol. 19(24), pages 1-15, December.
    48. Robin Cubitt & Chris Starmer & Robert Sugden, 1998. "On the Validity of the Random Lottery Incentive System," Experimental Economics, Springer;Economic Science Association, vol. 1(2), pages 115-131, September.
    49. Ruth Hill & Angelino Viceisza, 2012. "A field experiment on the impact of weather shocks and insurance on risky investment," Experimental Economics, Springer;Economic Science Association, vol. 15(2), pages 341-371, June.
    50. Glenn W. Harrison & Andre Hofmeyr & Don Ross & J. Todd Swarthout, 2018. "Risk Preferences, Time Preferences, and Smoking Behavior," Southern Economic Journal, John Wiley & Sons, vol. 85(2), pages 313-348, October.
    51. Riju Joshi & Jeffrey M. Wooldridge, 2019. "Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels," Annals of Economics and Statistics, GENES, issue 134, pages 243-268.
    52. Callen, Michael, 2015. "Catastrophes and time preference: Evidence from the Indian Ocean Earthquake," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 199-214.
    53. Harrison, Glenn W. & Lau, Morten I. & Rutström, E. Elisabet, 2010. "Individual discount rates and smoking: Evidence from a field experiment in Denmark," Journal of Health Economics, Elsevier, vol. 29(5), pages 708-717, September.
    54. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August.
    55. Erik Snowberg & Leeat Yariv, 2021. "Testing the Waters: Behavior across Participant Pools," American Economic Review, American Economic Association, vol. 111(2), pages 687-719, February.
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    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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