IDEAS home Printed from https://ideas.repec.org/p/sss/wpaper/2015-02.html
   My bibliography  Save this paper

Disentangling the Influence of Knowledge on Processing Strategies in Choice Modelling

Author

Listed:
  • Erlend Dancke Sandorf

    (The Norwegian College of Fishery Science, Faculty of Biosciences, Fisheries and Economics, University of Tromsø – The Arctic University of Norway)

  • Danny Campbell

    (Economics Division, University of Stirling, Scotland)

  • Nick Hanley

    (School of Geography and Sustainable Development, University of St. Andrews)

Abstract

This paper seeks to disentangle the effect of knowledge on processing strategies using data from a discrete choice experiment on cold-water corals in Norway. Cold-water corals are a deep-sea ecosystem for which we have limited scientific knowledge and for which public awareness is low, and consequently is likely to be an unfamiliar good to many members of the public. One simplifying strategy often employed by respondents in a choice experiment is to simply ignore some of the attributes, i.e. attribute non-attendance. After the initial presentation of the good, before answering the choice cards, the respondents were given a quiz over the material covered in the presentation. This provides us with an ex ante measure of their knowledge. We use a combination of discrete and continuous mixture models to disentangle the effects of variations in knowledge about the good. We use a respondent’s quiz score as covariates in the probability function of attending to an attribute. Our results show that knowledge, as measured by the quiz score, has a significant effect on the probability of attending to the attribute for three out of four attributes. This has direct implication for practitioners in that proper information may help avoid the use of simplifying strategies.

Suggested Citation

  • Erlend Dancke Sandorf & Danny Campbell & Nick Hanley, 2015. "Disentangling the Influence of Knowledge on Processing Strategies in Choice Modelling," Discussion Papers in Environment and Development Economics 2015-02, University of St. Andrews, School of Geography and Sustainable Development.
  • Handle: RePEc:sss:wpaper:2015-02
    as

    Download full text from publisher

    File URL: http://www.st-andrews.ac.uk/media/dept-of-geography-and-sustainable-development/pdf-s/DP%202015%2002%20Sandorf,%20Campbell%20&%20Hanley.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hess, S. & Bierlaire, Michel & Polak, J.W., 2007. "A systematic comparison of continuous and discrete mixture models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 37, pages 35-61.
    2. Kosenius, Anna-Kaisa, 2013. "Preference discontinuity in choice experiment: Determinants and implications," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 138-145.
    3. Colombo, Sergio & Christie, Michael & Hanley, Nick, 2013. "What are the consequences of ignoring attributes in choice experiments? Implications for ecosystem service valuation," Ecological Economics, Elsevier, vol. 96(C), pages 25-35.
    4. Campbell, Danny & Doherty, Edel & Hynes, Stephen & van Rensburg, Tom M., 2010. "Combining discrete and continuous mixing approaches to accommodate heterogeneity in price sensitivities in environmental choice analysis," 84th Annual Conference, March 29-31, 2010, Edinburgh, Scotland 91723, Agricultural Economics Society.
    5. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    6. Alvarez-Farizo, Begona & Hanley, Nick & Barberan, Ramon & Lazaro, Angelina, 2007. "Choice modeling at the "market stall": Individual versus collective interest in environmental valuation," Ecological Economics, Elsevier, vol. 60(4), pages 743-751, February.
    7. Macmillan, Douglas C. & Philip, Lorna & Hanley, Nick & Alvarez-Farizo, Begona, 2002. "Valuing the non-market benefits of wild goose conservation: a comparison of interview and group based approaches," Ecological Economics, Elsevier, vol. 43(1), pages 49-59, November.
    8. Danny Campbell & David A. Hensher & Riccardo Scarpa, 2011. "Non-attendance to attributes in environmental choice analysis: a latent class specification," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(8), pages 1061-1076, December.
    9. LaRiviere, Jacob & Czajkowski, Mikołaj & Hanley, Nick & Aanesen, Margrethe & Falk-Petersen, Jannike & Tinch, Dugald, 2014. "The value of familiarity: Effects of knowledge and objective signals on willingness to pay for a public good," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 376-389.
    10. Aanesen, Margrethe & Armstrong, Claire & Czajkowski, Mikołaj & Falk-Petersen, Jannike & Hanley, Nick & Navrud, Ståle, 2015. "Willingness to pay for unfamiliar public goods: Preserving cold-water coral in Norway," Ecological Economics, Elsevier, vol. 112(C), pages 53-67.
    11. David Hensher & John Rose & William Greene, 2005. "The implications on willingness to pay of respondents ignoring specific attributes," Transportation, Springer, vol. 32(3), pages 203-222, May.
    12. LaRiviere, Jacob & Czajkowski, Mikolaj & Hanley, Nick & Aanesen, Margrethe & Falk-Peterson, Jannike & Tinch, Dugald, 2014. "Effects of Experience, Knowledge and Signals on Willingness to Pay for a Public Good," SIRE Discussion Papers 2014-008, Scottish Institute for Research in Economics (SIRE).
    13. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    14. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    15. Riccardo Scarpa & Timothy J. Gilbride & Danny Campbell & David A. Hensher, 2009. "Modelling attribute non-attendance in choice experiments for rural landscape valuation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(2), pages 151-174, June.
    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. Sandorf, Erlend Dancke & Campbell, Danny & Hanley, Nick, 2017. "Disentangling the influence of knowledge on attribute non-attendance," Journal of choice modelling, Elsevier, vol. 24(C), pages 36-50.
    2. Erlend Dancke Sandorf, 2019. "Did You Miss Something? Inattentive Respondents in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1197-1235, August.
    3. 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.
    4. Grammatikopoulou, Ioanna & Pouta, Eija & Artell, Janne, 2019. "Heterogeneity and attribute non-attendance in preferences for peatland conservation," Forest Policy and Economics, Elsevier, vol. 104(C), pages 45-55.
    5. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    6. Nick Hanley & Mikołaj Czajkowski, 2017. "Stated Preference valuation methods: an evolving tool for understanding choices and informing policy," Working Papers 2017-01, Faculty of Economic Sciences, University of Warsaw.
    7. Sandorf, Erlend Dancke & Aanesen, Margrethe & Navrud, Ståle, 2016. "Valuing unfamiliar and complex environmental goods: A comparison of valuation workshops and internet panel surveys with videos," Ecological Economics, Elsevier, vol. 129(C), pages 50-61.
    8. Weller, Priska & Oehlmann, Malte & Mariel, Petr & Meyerhoff, Jürgen, 2014. "Stated and inferred attribute non-attendance in a design of designs approach," Journal of choice modelling, Elsevier, vol. 11(C), pages 43-56.
    9. Sandra Notaro & Maria De Salvo & Roberta Raffaelli, 2022. "Estimating Willingness to Pay for Alpine Pastures: A Discrete Choice Experiment Accounting for Attribute Non-Attendance," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    10. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2020. "Dealing with ignored attributes through an inferred approach in wine choice experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 87(C).
    11. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, 2017. "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    12. David Hensher & Andrew Collins & William Greene, 2013. "Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: a warning on potential confounding," Transportation, Springer, vol. 40(5), pages 1003-1020, September.
    13. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
    14. Mara Thiene & Riccardo Scarpa & Jordan Louviere, 2015. "Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 637-656, November.
    15. Colombo, Sergio & Christie, Michael & Hanley, Nick, 2013. "What are the consequences of ignoring attributes in choice experiments? Implications for ecosystem service valuation," Ecological Economics, Elsevier, vol. 96(C), pages 25-35.
    16. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    17. Tienhaara, Annika & Ahtiainen, Heini & Pouta, Eija, 2017. "Operationalization of ecosystem services for choice experiments: the effect of relevance in the valuation of agrienvironmental policies," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261433, European Association of Agricultural Economists.
    18. Hole, Arne Risa & Kolstad, Julie Riise & Gyrd-Hansen, Dorte, 2013. "Inferred vs. stated attribute non-attendance in choice experiments: A study of doctors’ prescription behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 21-31.
    19. David Hensher & John Rose & William Greene, 2012. "Inferring attribute non-attendance from stated choice data: implications for willingness to pay estimates and a warning for stated choice experiment design," Transportation, Springer, vol. 39(2), pages 235-245, March.
    20. Aanesen, Margrethe & Armstrong, Claire & Czajkowski, Mikołaj & Falk-Petersen, Jannike & Hanley, Nick & Navrud, Ståle, 2015. "Willingness to pay for unfamiliar public goods: Preserving cold-water coral in Norway," Ecological Economics, Elsevier, vol. 112(C), pages 53-67.

    More about this item

    Keywords

    Attribute Non-Attendance; Discrete Choice Experiment; Knowledge; Attribute Processing Strategies; Cold water coral; ecosystem services;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

    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:sss:wpaper:2015-02. 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: Laure Kuhfuss (email available below). General contact details of provider: https://edirc.repec.org/data/eestauk.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.