IDEAS home Printed from https://ideas.repec.org/p/ags/aare15/202571.html
   My bibliography  Save this paper

Virtual Reality and Scope Sensitivity in a Choice Experiment About Coastal Erosion

Author

Listed:
  • Phillips, Yvonne
  • Marsh, Dan

Abstract

No abstract is available for this item.

Suggested Citation

  • Phillips, Yvonne & Marsh, Dan, 2015. "Virtual Reality and Scope Sensitivity in a Choice Experiment About Coastal Erosion," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202571, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare15:202571
    DOI: 10.22004/ag.econ.202571
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/202571/files/Phillips%20paper.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.202571?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
    ---><---

    References listed on IDEAS

    as
    1. Boxall, Peter C. & Adamowicz, Wiktor L. & Moon, Amanda, 2009. "Complexity in choice experiments: choice of the status quo alternative and implications for welfare measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-17.
    2. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    3. Glenn Blomquist & Karen Blumenschein & Magnus Johannesson, 2009. "Eliciting Willingness to Pay without Bias using Follow-up Certainty Statements: Comparisons between Probably/Definitely and a 10-point Certainty Scale," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(4), pages 473-502, August.
    4. Danny Campbell & Seda Erdem, 2015. "Position Bias in Best-worst Scaling Surveys: A Case Study on Trust in Institutions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 526-545.
    5. Heiner, Ronald A, 1983. "The Origin of Predictable Behavior," American Economic Review, American Economic Association, vol. 73(4), pages 560-595, September.
    6. Fiore, Stephen M. & Harrison, Glenn W. & Hughes, Charles E. & Rutstrm, E. Elisabet, 2009. "Virtual experiments and environmental policy," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 65-86, January.
    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. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Using virtual environments to improve the realism of choice experiments: A case study about coastal erosion management," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 193-208.
    2. Tobias Börger & Oliver Frör & Sören Weiß, 2017. "The relationship between perceived difficulty and randomness in discrete choice experiments: Investigating reasons for and consequences of difficulty," Discussion Papers in Environment and Development Economics 2017-03, University of St. Andrews, School of Geography and Sustainable Development.
    3. Enni Ruokamo & Mikołaj Czajkowski & Nick Hanley & Artti Juutinen & Rauli Svento, 2016. "Linking perceived choice complexity with scale heterogeneity in discrete choice experiments: home heating in Finland," Working Papers 2016-30, Faculty of Economic Sciences, University of Warsaw.
    4. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    5. Glenk, Klaus & Hall, Clare & Liebe, Ulf & Meyerhoff, Jürgen, 2012. "Preferences of Scotch malt whisky consumers for changes in pesticide use and origin of barley," Food Policy, Elsevier, vol. 37(6), pages 719-731.
    6. Jürgen Meyerhoff & Malte Oehlmann & Priska Weller, 2015. "The Influence of Design Dimensions on Stated Choices in an Environmental Context," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(3), pages 385-407, July.
    7. Fredrik Carlsson, 2010. "Design of Stated Preference Surveys: Is There More to Learn from Behavioral Economics?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(2), pages 167-177, June.
    8. Erdem, Seda, 2018. "Who do UK consumers trust for information about nanotechnology?," Food Policy, Elsevier, vol. 77(C), pages 133-142.
    9. Eppink, Florian V. & Hanley, Nick & Tucker, Steven, 2019. "How Best to Present Complex Ecosystem Information in Stated Preference Studies?," Ecological Economics, Elsevier, vol. 158(C), pages 20-25.
    10. Lien Nguyen & Hanna Jokimäki & Ismo Linnosmaa & Eirini-Christina Saloniki & Laurie Batchelder & Juliette Malley & Hui Lu & Peter Burge & Birgit Trukeschitz & Julien Forder, 2022. "Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(3), pages 357-374, April.
    11. Fiebig, D.G. & Viney, R. & Haas, M. & Knox, S. & Street, D. & Weisberg, E. & Bateson, D., 2015. "Complexity and doctor choices when discussing contraceptives," Health, Econometrics and Data Group (HEDG) Working Papers 15/14, HEDG, c/o Department of Economics, University of York.
    12. Daniel E. Chavez & Marco A. Palma, 2019. "Pushing subjects beyond rationality with more alternatives in experimental auctions," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 207-217, March.
    13. Thiene, Mara & Meyerhoff, Jürgen & De Salvo, Maria, 2012. "Scale and taste heterogeneity for forest biodiversity: Models of serial nonparticipation and their effects," Journal of Forest Economics, Elsevier, vol. 18(4), pages 355-369.
    14. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 27, pages 661-674, Edward Elgar Publishing.
    15. Ulf Liebe & Jürgen Meyerhoff & Volkmar Hartje, 2012. "Test–Retest Reliability of Choice Experiments in Environmental Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 389-407, November.
    16. Mikołaj Czajkowski & Marek Giergiczny & William H. Greene, 2012. "Learning and Fatigue Effects Revisited. The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments," Working Papers 2012-08, Faculty of Economic Sciences, University of Warsaw.
    17. Boxebeld, Sander, 2024. "Ordering effects in discrete choice experiments: A systematic literature review across domains," Journal of choice modelling, Elsevier, vol. 51(C).
    18. Jacobsen, Jette Bredahl & Lundhede, Thomas Hedemark & Martinsen, Louise & Hasler, Berit & Thorsen, Bo Jellesmark, 2011. "Embedding effects in choice experiment valuations of environmental preservation projects," Ecological Economics, Elsevier, vol. 70(6), pages 1170-1177, April.
    19. Murwirapachena, Genius & Dikgang, Johane, 2018. "An empirical examination of reducing status quo bias in heterogeneous populations: evidence from the South African water sector," MPRA Paper 91549, University Library of Munich, Germany.
    20. Li, Jinhu & Scott, Anthony & McGrail, Matthew & Humphreys, John & Witt, Julia, 2014. "Retaining rural doctors: Doctors' preferences for rural medical workforce incentives," Social Science & Medicine, Elsevier, vol. 121(C), pages 56-64.

    More about this item

    Keywords

    Environmental Economics and Policy; Research and Development/Tech Change/Emerging Technologies; Teaching/Communication/Extension/Profession;
    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:ags:aare15:202571. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.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.