IDEAS home Printed from https://ideas.repec.org/p/ags/iaae06/25312.html
   My bibliography  Save this paper

Non-Participation in Choice Models: Hurdle and Latent Class Models

Author

Listed:
  • Burton, Michael P.
  • Rigby, Dan

Abstract

In repeated choice modelling studies, it is often the case that individuals always select the status quo option. Although these choices may reflect considered choices, they may also be the result of alternative decisions about whether to participate in the choice process at all. Alternative methods of dealing with this feature of such data are presented, with the implications for estimates of economic values. In particular we consider the alternatives of excluding such individuals from the data, using hurdle models to explicitly model this group, and consider the possibility of latent class models, that endogenously allow for difference preference structures. The application is to a stated preference choice modelling data set that investigates preferences towards forms of GM foods.

Suggested Citation

  • Burton, Michael P. & Rigby, Dan, 2006. "Non-Participation in Choice Models: Hurdle and Latent Class Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25312, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae06:25312
    DOI: 10.22004/ag.econ.25312
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/25312/files/cp061035.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.25312?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. Wiktor Adamowicz & Peter Boxall & Michael Williams & Jordan Louviere, 1998. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 64-75.
    2. Wuyang Hu, 2004. "Trading off health, environmental and genetic modification attributes in food," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(3), pages 389-408, September.
    3. Adamowicz, Wiktor L. & Boxall, Peter C. & Williams, Michael & Louviere, Jordan, 1995. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments versus Contingent Valuation," Staff Paper Series 24126, University of Alberta, Department of Resource Economics and Environmental Sociology.
    4. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    5. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, January.
    6. Roger H. von Haefen & D. Matthew Massey & Wiktor L. Adamowicz, 2005. "Serial Nonparticipation in Repeated Discrete Choice Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1061-1076.
    7. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    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. Dan Rigby & Kelvin Balcombe & Michael Burton, 2009. "Mixed Logit Model Performance and Distributional Assumptions: Preferences and GM foods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 279-295, March.

    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. 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.
    2. Hu, Wuyang, 2008. "Modeling Yeah- and Nay-Saying to Alternatives in Conjoint Experiments," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6346, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Bond, Craig A. & Thilmany, Dawn D. & Bond, Jennifer Keeling, 2008. "What to Choose? The Value of Label Claims to Fresh Produce Consumers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-26.
    4. Justin Visagie & Dorrit Posel, 2013. "A reconsideration of what and who is middle class in South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 30(2), pages 149-167, June.
    5. Stine Broch & Suzanne Vedel, 2012. "Using Choice Experiments to Investigate the Policy Relevance of Heterogeneity in Farmer Agri-Environmental Contract Preferences," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(4), pages 561-581, April.
    6. Ekin Birol & Sukanya Das, 2010. "The Value of Improved Public Services: An Application of the Choice Experiment Method to Estimate the Value of Improved Wastewater Treatment Infrastructure in India," Working Papers 2010-051, Madras School of Economics,Chennai,India.
    7. Kikulwe, Enoch M. & Birol, Ekin & Wesseler, Justus & Falck-Zepeda, Jose Benjamin, 2013. "Benefits, costs, and consumer perceptions of the potential introduction of a fungus-resistant banana in Uganda and policy implications," IFPRI book chapters, in: Falck-Zepeda, Jose Benjamin & Gruère, Guillaume P. & Sithole-Niang, Idah (ed.), Genetically modified crops in Africa: Economic and policy lessons from countries south of the Sahara, chapter 4, pages 99-141, International Food Policy Research Institute (IFPRI).
    8. Birol, Ekin & Phoebe, Koundouri & Yiannis, Kountouris, 2008. "Using the Choice Experiment Method to Inform River Management in Poland: Flood Risk Reduction vs. Habitat Conservation in the Upper Silesia Region," MPRA Paper 41906, University Library of Munich, Germany.
    9. Falck-Zepeda, José & Kilkuwe, Enoch & Wesseler, Justus, 2008. "Introducing a genetically modified banana in Uganda: Social benefits, costs, and consumer perceptions," IFPRI discussion papers 767, International Food Policy Research Institute (IFPRI).
    10. Craig E. Landry & Paul Hindsley & Okmyung Bin & Jamie B. Kruse & John C. Whitehead & Ken Wilson, 2011. "Weathering the Storm: Measuring Household Willingness‐to‐Pay for Risk‐Reduction in Post‐Katrina New Orleans," Southern Economic Journal, John Wiley & Sons, vol. 77(4), pages 991-1013, April.
    11. Gelo, Dambala & Koch, Steven F., 2012. "Does one size fit all? Heterogeneity in the valuation of community forestry programs," Ecological Economics, Elsevier, vol. 74(C), pages 85-94.
    12. Kikulwe, Enoch & Birol, Ekin & Wesseler, Justus & Falck-Zepeda, José, 2009. "A latent class approach to investigating consumer demand for genetically modified staple food in a developing country: The case of GM bananas in Uganda," IFPRI discussion papers 938, International Food Policy Research Institute (IFPRI).
    13. Birol, Ekin & Asare-Marfo, Dorene & Karandikar,Bhushana & Roy, Devesh, 2011. "A latent class approach to investigating farmer demand for biofortified staple food crops in developing countries: The case of high-iron pearl millet in Maharashtra, India," HarvestPlus working papers 7, International Food Policy Research Institute (IFPRI).
    14. Andy Choi, 2009. "Willingness to pay: how stable are the estimates?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 301-310, November.
    15. Colombo, Sergio & Hanley, Nick, 2007. "What Determines Prediction Errors In "Benefits Transfer" Models?," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7967, Agricultural Economics Society.
    16. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    17. Siikamaki, Juha & Layton, David F., 2006. "Discrete Choice Survey Experiments: A Comparison Using Flexible Models," RFF Working Paper Series dp-05-60, Resources for the Future.
    18. 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.
    19. Oparinde, Adewale & Birol, Ekin, 2011. "Farm households' preference for cash-based compensation versus livelihood-enhancing programs: A choice experiment to inform avian flu compensation policy in Nigeria," IFPRI discussion papers 1072, International Food Policy Research Institute (IFPRI).
    20. Ole Bonnichsen & Jacob Ladenburg, 2010. "Reducing Status Quo Bias in Choice Experiments – An Application of a Protest Reduction Entreaty," IFRO Working Paper 2010/7, University of Copenhagen, Department of Food and Resource Economics.

    More about this item

    Keywords

    Demand and Price Analysis;

    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:iaae06:25312. 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/iaaeeea.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.