IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v104y2023ics2214804323000484.html

Loss aversion or lack of trust: Why does loss framing work to encourage preventive health behaviors?

Author

Listed:
  • Beam, Emily A.
  • Masatioglu, Yusufcan
  • Watson, Tara
  • Yang, Dean

Abstract

We implement a field experiment designed to increase participants’ willingness to visit a health clinic. We find that framing a $50 incentive as a loss rather than a gain increases take-up, but we do not find support for the notion that loss aversion is responsible for the effectiveness of loss framing. Instead, it appears that loss framing promotes take-up by raising the perceived probability that the incentive will be provided as promised. The results suggest trust is an alternative pathway through which loss framing may affect behavior, and trust may be an important way to promote desirable health behaviors.

Suggested Citation

  • Beam, Emily A. & Masatioglu, Yusufcan & Watson, Tara & Yang, Dean, 2023. "Loss aversion or lack of trust: Why does loss framing work to encourage preventive health behaviors?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
  • Handle: RePEc:eee:soceco:v:104:y:2023:i:c:s2214804323000484
    DOI: 10.1016/j.socec.2023.102022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214804323000484
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socec.2023.102022?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

    for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Central Bureau for Health Intelligence (CBHI), 2015. "The National Health Profile 2015," Working Papers id:7552, eSocialSciences.
    2. Tanjim Hossain & John A. List, 2012. "The Behavioralist Visits the Factory: Increasing Productivity Using Simple Framing Manipulations," Management Science, INFORMS, vol. 58(12), pages 2151-2167, December.
    3. Mohammed Abdellaoui & Han Bleichrodt & Olivier L’Haridon, 2008. "A tractable method to measure utility and loss aversion under prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 245-266, June.
    4. Roland Fryer & Steven Levitt & John List & Sally Sadoff, 2012. "Enhancing the Efficacy of Teacher Incentives through Loss Aversion: A Field Experiment," Framed Field Experiments 00591, The Field Experiments Website.
    5. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    6. Paul J. Ferraro & J. Dustin Tracy, 2022. "A reassessment of the potential for loss-framed incentive contracts to increase productivity: a meta-analysis and a real-effort experiment," Experimental Economics, Springer;Economic Science Association, vol. 25(5), pages 1441-1466, November.
    7. Eric P. Bettinger, 2012. "Paying to Learn: The Effect of Financial Incentives on Elementary School Test Scores," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 686-698, August.
    8. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    9. Jochen Reb & Terry Connolly, 2007. "Possession, feelings of ownership and the endowment effect," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 2, pages 107-114, April.
    10. Simon Gächter & Eric J. Johnson & Andreas Herrmann, 2022. "Individual-level loss aversion in riskless and risky choices," Theory and Decision, Springer, vol. 92(3), pages 599-624, April.
    11. Nash, Jane Gradwohl & Rosenthal, Robert A., 2014. "An investigation of the endowment effect in the context of a college housing lottery," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 74-82.
    12. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    13. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    14. Brigitte C. Madrian, 2014. "Applying Insights from Behavioral Economics to Policy Design," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 663-688, August.
    15. Charles Sprenger, 2015. "An Endowment Effect for Risk: Experimental Tests of Stochastic Reference Points," Journal of Political Economy, University of Chicago Press, vol. 123(6), pages 1456-1499.
    16. Strahilevitz, Michal A & Loewenstein, George, 1998. "The Effect of Ownership History on the Valuation of Objects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 276-289, December.
    17. Matthew Rabin, 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Econometrica, Econometric Society, vol. 68(5), pages 1281-1292, September.
    18. Ernst Fehr & Lorenz Goette, 2007. "Do Workers Work More if Wages Are High? Evidence from a Randomized Field Experiment," American Economic Review, American Economic Association, vol. 97(1), pages 298-317, March.
    19. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," CESifo Working Paper Series 7262, CESifo.
    20. Steven D. Levitt & John A. List & Susanne Neckermann & Sally Sadoff, 2016. "The Behavioralist Goes to School: Leveraging Behavioral Economics to Improve Educational Performance," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 183-219, November.
    21. Peter Brooks & Horst Zank, 2005. "Loss Averse Behavior," Journal of Risk and Uncertainty, Springer, vol. 31(3), pages 301-325, December.
    22. Marcella Alsan & Marianne Wanamaker, 2018. "Tuskegee and the Health of Black Men," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 407-455.
    23. Almunia, Miguel & Guceri, Irem & Lockwood, Ben & Scharf, Kimberley, 2020. "More giving or more givers? The effects of tax incentives on charitable donations in the UK," Journal of Public Economics, Elsevier, vol. 183(C).
    24. Mohammed Abdellaoui & Han Bleichrodt & Corina Paraschiv, 2007. "Loss Aversion Under Prospect Theory: A Parameter-Free Measurement," Management Science, INFORMS, vol. 53(10), pages 1659-1674, October.
    25. Ranoua Bouchouicha & Lachlan Deer & Ashraf Galal Eid & Peter McGee & Daniel Schoch & Hrvoje Stojic & Jolanda Ygosse-Battisti & Ferdinand M. Vieider, 2019. "Gender effects for loss aversion: Yes, no, maybe?," Journal of Risk and Uncertainty, Springer, vol. 59(2), pages 171-184, October.
    26. Wakker, Peter P., 2005. "Decision-foundations for properties of nonadditive measures: general state spaces or general outcome spaces," Games and Economic Behavior, Elsevier, vol. 50(1), pages 107-125, January.
    27. Yusufcan Masatlioglu & Collin Raymond, 2016. "A Behavioral Analysis of Stochastic Reference Dependence," American Economic Review, American Economic Association, vol. 106(9), pages 2760-2782, September.
    28. Matthew Rabin & Richard H. Thaler, 2013. "Anomalies: Risk aversion," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 27, pages 467-480, World Scientific Publishing Co. Pte. Ltd..
    29. Segal, Uzi & Spivak, Avia, 1990. "First order versus second order risk aversion," Journal of Economic Theory, Elsevier, vol. 51(1), pages 111-125, June.
    30. Mohammed Abdellaoui & Olivier L'Haridon & Corina Paraschiv, 2011. "Experienced vs. Described Uncertainty: Do We Need Two Prospect Theory Specifications?," Management Science, INFORMS, vol. 57(10), pages 1879-1895, October.
    31. Gächter, Simon & Johnson, Eric J. & Herrmann, Andreas, 2007. "Individual-Level Loss Aversion in Riskless and Risky Choices," IZA Discussion Papers 2961, Institute of Labor Economics (IZA).
    32. Ulrich Schmidt & Horst Zank, 2005. "What is Loss Aversion?," Journal of Risk and Uncertainty, Springer, vol. 30(2), pages 157-167, January.
    33. Kobberling, Veronika & Wakker, Peter P., 2005. "An index of loss aversion," Journal of Economic Theory, Elsevier, vol. 122(1), pages 119-131, May.
    34. Keith M. Marzilli Ericson & Andreas Fuster, 2011. "Expectations as Endowments: Evidence on Reference-Dependent Preferences from Exchange and Valuation Experiments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1879-1907.
    35. R. Lynn Hannan & Vicky B. Hoffman & Donald V. Moser, 2005. "Bonus versus Penalty: Does Contract Frame Affect Employee Effort?," Springer Books, in: Amnon Rapoport & Rami Zwick (ed.), Experimental Business Research, chapter 0, pages 151-169, Springer.
    36. Schmidt, Ulrich & Traub, Stefan, 2002. "An Experimental Test of Loss Aversion," Journal of Risk and Uncertainty, Springer, vol. 25(3), pages 233-249, November.
    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. Jesse C. Bockstedt & Joseph R. Buckman, 2026. "Humans’ Use of AI Assistance: The Effect of Loss Aversion on Willingness to Delegate Decisions," Management Science, INFORMS, vol. 72(1), pages 323-342, January.

    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. Alex Markle & George Wu & Rebecca White & Aaron Sackett, 2018. "Goals as reference points in marathon running: A novel test of reference dependence," Journal of Risk and Uncertainty, Springer, vol. 56(1), pages 19-50, February.
    2. Simon Gächter & Eric J. Johnson & Andreas Herrmann, 2022. "Individual-level loss aversion in riskless and risky choices," Theory and Decision, Springer, vol. 92(3), pages 599-624, April.
    3. Simon Gaechter & Eric Johnson & Andreas Herrmann, 2007. "Individual-Level Loss Aversion In Riskless And Risky Choices," Discussion Papers 2007-02, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    4. Walasek, Lukasz & Mullett, Timothy L. & Stewart, Neil, 2024. "A meta-analysis of loss aversion in risky contexts," Journal of Economic Psychology, Elsevier, vol. 103(C).
    5. Per Engström & Katarina Nordblom & Henry Ohlsson & Annika Persson, 2015. "Tax Compliance and Loss Aversion," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 132-164, November.
    6. Eyal Ert & Ido Erev, 2013. "On the descriptive value of loss aversion in decisions under risk: Six clarifications," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(3), pages 214-235, May.
    7. González-Jiménez, Víctor, 2024. "Incentive design for reference-dependent preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 493-518.
    8. Alex Imas & Sally Sadoff & Anya Samek, 2017. "Do People Anticipate Loss Aversion?," Management Science, INFORMS, vol. 63(5), pages 1271-1284, May.
    9. Ranoua Bouchouicha & Lachlan Deer & Ashraf Galal Eid & Peter McGee & Daniel Schoch & Hrvoje Stojic & Jolanda Ygosse-Battisti & Ferdinand M. Vieider, 2019. "Gender effects for loss aversion: Yes, no, maybe?," Journal of Risk and Uncertainty, Springer, vol. 59(2), pages 171-184, October.
    10. Eyal Ert & Ido Erev, 2010. "On the Descriptive Value of Loss Aversion in Decisions under Risk," Harvard Business School Working Papers 10-056, Harvard Business School.
    11. Horst Zank, 2010. "On probabilities and loss aversion," Theory and Decision, Springer, vol. 68(3), pages 243-261, March.
    12. Booij, Adam S. & van de Kuilen, Gijs, 2009. "A parameter-free analysis of the utility of money for the general population under prospect theory," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 651-666, August.
    13. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," NBER Working Papers 25072, National Bureau of Economic Research, Inc.
    14. Sanjit Dhami & Narges Hajimoladarvish, 2020. "Mental Accounting, Loss Aversion, and Tax Evasion: Theory and Evidence," CESifo Working Paper Series 8606, CESifo.
    15. Ulrich Schmidt & Horst Zank, 2012. "A genuine foundation for prospect theory," Journal of Risk and Uncertainty, Springer, vol. 45(2), pages 97-113, October.
    16. Alexander L. Brown & Taisuke Imai & Ferdinand M. Vieider & Colin F. Camerer, 2024. "Meta-analysis of Empirical Estimates of Loss Aversion," Journal of Economic Literature, American Economic Association, vol. 62(2), pages 485-516, June.
    17. Han Bleichrodt & Jason N. Doctor & Yu Gao & Chen Li & Daniella Meeker & Peter P. Wakker, 2019. "Resolving Rabin’s paradox," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 239-260, December.
    18. Adam Booij & Bernard Praag & Gijs Kuilen, 2010. "A parametric analysis of prospect theory’s functionals for the general population," Theory and Decision, Springer, vol. 68(1), pages 115-148, February.
    19. Pau Balart & Lara Ezquerra & Iñigo Hernandez-Arenaz, 2022. "Framing effects on risk-taking behavior: evidence from a field experiment in multiple-choice tests," Experimental Economics, Springer;Economic Science Association, vol. 25(4), pages 1268-1297, September.
    20. Jonathan P. Beauchamp & Daniel J. Benjamin & David I. Laibson & Christopher F. Chabris, 2020. "Measuring and controlling for the compromise effect when estimating risk preference parameters," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1069-1099, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    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:eee:soceco:v:104:y:2023:i:c:s2214804323000484. 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/locate/inca/620175 .

    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.