IDEAS home Printed from https://ideas.repec.org/p/apl/wpaper/23-05.html
   My bibliography  Save this paper

External Validity of Inferred Attribute NonAttendance: Evidence from a Laboratory Experiment with Real and Hypothetical Payoffs

Author

Listed:
  • Tanga Mohr
  • John C. Whitehead

Abstract

We consider differences in hypothetical and real payoff laboratory experiments using attribute non-attendance methods. Attribute non-attendance is an empirical approach that measures and accounts for when survey respondents ignore attributes in stated preference surveys. We use attribute non-attendance methods with data from an emissions permit experiment with real and hypothetical payments. Our conjecture is that attribute non-attendance may be more pronounced in hypothetical sessions and, once accounted for, hypothetical decisions and real decisions influenced by monetary payoffs will be more similar. In both treatments we find that the effect of the cost of an emissions permit on behavior differs if the cost is implicit or explicit. In inferred attribute non-attendance models with the real treatment data we find two classes of respondents with different behavior but no evidence of attribute non-attendance. With the hypothetical treatment data we find two classes of respondents with different behavior and evidence of attribute non-attendance on two of the four choice attributes. Key Words: attribute non-attendance, emissions permits, laboratory experiment, stated preferences

Suggested Citation

  • Tanga Mohr & John C. Whitehead, 2023. "External Validity of Inferred Attribute NonAttendance: Evidence from a Laboratory Experiment with Real and Hypothetical Payoffs," Working Papers 23-05, Department of Economics, Appalachian State University.
  • Handle: RePEc:apl:wpaper:23-05
    as

    Download full text from publisher

    File URL: http://econ.appstate.edu/RePEc/pdf/wp2305.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel R. Petrolia & Joonghyun Hwang, 2020. "Accounting for Attribute Non-attendance in Three Previously Published Choice Studies of Coastal Resources," Marine Resource Economics, University of Chicago Press, vol. 35(3), pages 219-240.
    2. Christopher Giguere & Chris Moore & John C. Whitehead, 2020. "Valuing Hemlock Woolly Adelgid Control in Public Forests: Scope Effects with Attribute Nonattendance," Land Economics, University of Wisconsin Press, vol. 96(1), pages 25-42.
    3. Smith, Vernon L & Walker, James M, 1993. "Monetary Rewards and Decision Cost in Experimental Economics," Economic Inquiry, Western Economic Association International, vol. 31(2), pages 245-261, April.
    4. Grebitus, Carola & Lusk, Jayson L. & Nayga, Rodolfo M., 2013. "Explaining differences in real and hypothetical experimental auctions and choice experiments with personality," Journal of Economic Psychology, Elsevier, vol. 36(C), pages 11-26.
    5. Charles Holt & Erica Myers & Markus Wrake & Dallas Burtraw & Svante Mandell, 2010. "Teaching Opportunity Cost in an Emissions Permit Experiment," International Review of Economic Education, Economics Network, University of Bristol, vol. 9(2), pages 34-42.
    6. Carlsson, Fredrik & Martinsson, Peter, 2001. "Do Hypothetical and Actual Marginal Willingness to Pay Differ in Choice Experiments?: Application to the Valuation of the Environment," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 179-192, March.
    7. Newell, Laurie W. & Swallow, Stephen K., 2013. "Real-payment choice experiments: Valuing forested wetlands and spatial attributes within a landscape context," Ecological Economics, Elsevier, vol. 92(C), pages 37-47.
    8. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    9. Trey Malone & Jayson L Lusk, 2018. "A simple diagnostic measure of inattention bias in discrete choice models," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(3), pages 455-462.
    10. Wilcox, Nathaniel T, 1993. "Lottery Choice: Incentives, Complexity and Decision Time," Economic Journal, Royal Economic Society, vol. 103(421), pages 1397-1417, November.
    11. Markus Wråke & Erica Myers & Dallas Burtraw & Svante Mandell & Charles Holt, 2010. "Opportunity Cost for Free Allocations of Emissions Permits: An Experimental Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(3), pages 331-336, July.
    12. Taylor, Laura O. & McKee, Michael & Laury, Susan K. & Cummings, Ronald G., 2001. "Induced-value tests of the referendum voting mechanism," Economics Letters, Elsevier, vol. 71(1), pages 61-65, April.
    13. John Whitehead, 2005. "Environmental Risk and Averting Behavior: Predictive Validity of Jointly Estimated Revealed and Stated Behavior Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(3), pages 301-316, November.
    14. W. Douglass Shaw, 2002. "Testing the Validity of Contingent Behavior Trip Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 401-414.
    15. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    Full references (including those not matched with items on IDEAS)

    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. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    2. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    4. Werbeck, Anna, 2024. "Stated preferences and actual choices in german health insurance," Ruhr Economic Papers 1091, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Xie, Lusi & Adamowicz, Wiktor & Kecinski, Maik & Fooks, Jacob R., 2022. "Using economic experiments to assess the validity of stated preference contingent behavior responses," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    6. John C. Whitehead & Alicia Louis Cornicelli & Gregory Howard, 2024. "Total Economic Valuation of Great Lakes Recreational Fisheries: Attribute Non-attendance, Hypothetical Bias and Insensitivity to Scope," Working Papers 24-10, Department of Economics, Appalachian State University.
    7. Stefan Eriksson & Per Johansson & Sophie Langenskiöld, 2017. "What is the right profile for getting a job? A stated choice experiment of the recruitment process," Empirical Economics, Springer, vol. 53(2), pages 803-826, September.
    8. Chavez, Daniel E. & Palma, Marco A. & Nayga Jr., Rodolfo M., 2017. "When does real become consequential in non-hypothetical choice experiments?," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266327, Southern Agricultural Economics Association.
    9. Samir Mamadehussene & Francesco Sguera, 2023. "On the Reliability of the BDM Mechanism," Management Science, INFORMS, vol. 69(2), pages 1166-1179, February.
    10. Buschena, David E. & Zilberman, David & Feldman, Paul J., 2024. "Deliberation and Differences Determine Difficult Decisions," 2024 Annual Meeting, July 28-30, New Orleans, LA 344042, Agricultural and Applied Economics Association.
    11. Atozou, Baoubadi & Tamini, Lota D. & Bergeronm, Stephane & Doyon, Maurice, 2020. "Factors Explaining the Hypothetical Bias: How to Improve Models for Meta-Analyses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(2), March.
    12. Timothy C. Haab & Matthew G. Interis & Daniel R. Petrolia & John C. Whitehead, 2013. "From Hopeless to Curious? Thoughts on Hausman's 'Dubious to Hopeless' Critique of Contingent Valuation," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(4), pages 593-612.
    13. Gruner, Sven & Lehberger, Mira & Hirschauer, Norbert & Mußhoff, Oliver, 2022. "How (un)informative are experiments with students for other social groups? A study of agricultural students and farmers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(03), January.
    14. David M. Bruner, 2017. "Does decision error decrease with risk aversion?," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 259-273, March.
    15. Tanga McDaniel & E. Rutström, 2001. "Decision Making Costs and Problem Solving Performance," Experimental Economics, Springer;Economic Science Association, vol. 4(2), pages 145-161, October.
    16. Collins, Jill P. & Vossler, Christian A., 2009. "Incentive compatibility tests of choice experiment value elicitation questions," Journal of Environmental Economics and Management, Elsevier, vol. 58(2), pages 226-235, September.
    17. Kaat de Corte & John Cairns & Richard Grieve, 2021. "Stated versus revealed preferences: An approach to reduce bias," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1095-1123, May.
    18. Baker, Rick & Ruting, Brad, 2014. "Environmental Policy Analysis: A Guide to Non‑Market Valuation," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165810, Australian Agricultural and Resource Economics Society.
    19. Anna Bassi & Kenneth C. Williams, 2014. "Examining Monotonicity and Saliency Using Level- k Reasoning in a Voting Game," Games, MDPI, vol. 5(1), pages 1-27, February.
    20. David Bruner, 2009. "Changing the probability versus changing the reward," Experimental Economics, Springer;Economic Science Association, vol. 12(4), pages 367-385, December.

    More about this item

    Keywords

    attribute non-attendance; emissions permits; laboratory experiment; stated preferences;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:apl:wpaper:23-05. 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: O. Ashton Morgan (email available below). General contact details of provider: https://edirc.repec.org/data/deappus.html .

    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.