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Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment

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  • Buckell, John
  • White, Justin S.
  • Shang, Ce

Abstract

Discrete choice experiments (DCEs) are used to provide evidence for policymaking and nonmarket valuation in health. A perennial issue with the stated preference data used in DCEs is hypothetical bias; that is, hypothetical responses in experiments may differ from real-world behavior. A randomized DCE tested whether an incentive-compatible preference elicitation reduced hypothetical bias. Adult smokers were randomly assigned to either an incentive-compatible arm or a control arm; and then made DCE choices among cigarettes, e-cigarettes, and an opt-out. We examined the impacts on product choices, willingness to pay, and the scale of utility. Scale and willingness to pay were unaffected by the incentive. Respondents in the incentive-compatible arm were more likely to choose e-cigarettes. That is, the incentive-compatible approach affected product choices rather than scale/attribute preferences. Thus, while it is feasible to use incentive-compatibility mechanisms to manipulate experimental behaviors, the approach did not induce the hypothesized effect on preferences in this setting.

Suggested Citation

  • Buckell, John & White, Justin S. & Shang, Ce, 2020. "Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment," Journal of choice modelling, Elsevier, vol. 37(C).
  • Handle: RePEc:eee:eejocm:v:37:y:2020:i:c:s175553452030052x
    DOI: 10.1016/j.jocm.2020.100255
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    as
    1. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2010. "Are Risk Aversion and Impatience Related to Cognitive Ability?," American Economic Review, American Economic Association, vol. 100(3), pages 1238-1260, June.
    2. Attema, Arthur E. & Brouwer, Werner B.F. & l’Haridon, Olivier, 2013. "Prospect theory in the health domain: A quantitative assessment," Journal of Health Economics, Elsevier, vol. 32(6), pages 1057-1065.
    3. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    4. Arthur E. Attema & Werner B.F. Brouwer & Olivier l'Haridon, 2013. "A quantification of prospect theory in the health domain," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201321, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    5. Blake, Miranda R. & Lancsar, Emily & Peeters, Anna & Backholer, Kathryn, 2019. "Sugar-sweetened beverage price elasticities in a hypothetical convenience store," Social Science & Medicine, Elsevier, vol. 225(C), pages 98-107.
    6. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    7. Daniel McFadden, 2014. "The new science of pleasure: consumer choice behavior and the measurement of well-being," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 2, pages 7-48, Edward Elgar Publishing.
    8. Özdemir, Semra & Johnson, F. Reed & Hauber, A. Brett, 2009. "Hypothetical bias, cheap talk, and stated willingness to pay for health care," Journal of Health Economics, Elsevier, vol. 28(4), pages 894-901, July.
    9. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    10. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    11. Kabindra Regmi & Dinesh Kaphle & Sabina Timilsina & Nik Annie Afiqah Tuha, 2018. "Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic Review," PharmacoEconomics - Open, Springer, vol. 2(1), pages 5-17, March.
    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. Hermann Donfouet & Pierre-Alexandre Mahieu & Eric Malin, 2013. "Using respondents’ uncertainty scores to mitigate hypothetical bias in community-based health insurance studies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 277-285, April.
    14. Erik Brynjolfsson & Avinash Collis & Felix Eggers, 2019. "Using massive online choice experiments to measure changes in well-being," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(15), pages 7250-7255, April.
    15. Jayson L. Lusk & Ted C. Schroeder, 2004. "Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 467-482.
    16. Karen Blumenschein & Glenn C. Blomquist & Magnus Johannesson & Nancy Horn & Patricia Freeman, 2008. "Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment," Economic Journal, Royal Economic Society, vol. 118(525), pages 114-137, January.
    17. Stefan A. Lipman & Arthur E. Attema, 2019. "Rabin's paradox for health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 28(8), pages 1064-1071, August.
    18. James Cox & Vjollca Sadiraj & Ulrich Schmidt, 2015. "Paradoxes and mechanisms for choice under risk," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 215-250, June.
    19. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    20. Donald S. Kenkel & Sida Peng & Michael F. Pesko & Hua Wang, 2020. "Mostly harmless regulation? Electronic cigarettes, public policy, and consumer welfare," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1364-1377, November.
    21. James Andreoni & Charles Sprenger, 2012. "Estimating Time Preferences from Convex Budgets," American Economic Review, American Economic Association, vol. 102(7), pages 3333-3356, December.
    22. Jonathan de Quidt & Johannes Haushofer & Christopher Roth, 2018. "Measuring and Bounding Experimenter Demand," American Economic Review, American Economic Association, vol. 108(11), pages 3266-3302, November.
    23. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    24. Wuepper, David & Clemm, Alexandra & Wree, Philipp, 2019. "The preference for sustainable coffee and a new approach for dealing with hypothetical bias," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 475-486.
    25. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
    26. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    27. Smith, Vernon L, 1982. "Microeconomic Systems as an Experimental Science," American Economic Review, American Economic Association, vol. 72(5), pages 923-955, December.
    28. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, May.
    29. Carlsson, Fredrik & Frykblom, Peter & Johan Lagerkvist, Carl, 2005. "Using cheap talk as a test of validity in choice experiments," Economics Letters, Elsevier, vol. 89(2), pages 147-152, November.
    30. Arthur E. Attema & Han Bleichrodt & Olivier L'Haridon, 2018. "Ambiguity preferences for health," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1699-1716, November.
    31. 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.
    32. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    33. Glenn W. Harrison, 2014. "Real choices and hypothetical choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 10, pages 236-254, Edward Elgar Publishing.
    34. Frank J. Chaloupka IV & Matthew R. Levy & Justin S. White, 2019. "Estimating Biases in Smoking Cessation: Evidence from a Field Experiment," NBER Working Papers 26522, National Bureau of Economic Research, Inc.
    35. Mohammed H Alemu & Søren B Olsen, 2018. "Can a Repeated Opt-Out Reminder mitigate hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(5), pages 749-782.
    36. Daniel Zizzo, 2010. "Experimenter demand effects in economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 13(1), pages 75-98, March.
    37. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    38. Jayson L. Lusk, 2003. "Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 840-856.
    39. 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.
    40. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    41. Jon Helgheim Holte & Peter Sivey & Birgit Abelsen & Jan Abel Olsen, 2016. "Modelling Nonlinearities and Reference Dependence in General Practitioners' Income Preferences," Health Economics, John Wiley & Sons, Ltd., vol. 25(8), pages 1020-1038, August.
    42. David K. Whynes & Zoë Philips & Emma Frew, 2005. "Think of a number… any number?," Health Economics, John Wiley & Sons, Ltd., vol. 14(11), pages 1191-1195, November.
    43. Thirlway, Frances, 2016. "Everyday tactics in local moral worlds: E-cigarette practices in a working-class area of the UK," Social Science & Medicine, Elsevier, vol. 170(C), pages 106-113.
    44. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 28, pages 675-687, Edward Elgar Publishing.
    45. Daly, Andrew & Dekker, Thijs & Hess, Stephane, 2016. "Dummy coding vs effects coding for categorical variables: Clarifications and extensions," Journal of choice modelling, Elsevier, vol. 21(C), pages 36-41.
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    3. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.

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    More about this item

    Keywords

    Discrete choice experiments; Tobacco; Hypothetical bias; Incentive-compatibility; Willingness to pay;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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