IDEAS home Printed from https://ideas.repec.org/p/ags/aawewp/164855.html
   My bibliography  Save this paper

Measuring consumer preferences using hybrid discrete choice models

Author

Listed:
  • Palma, David
  • Dios Ortuzar, Juan de
  • Casaubon, Gerard
  • Rizzi, Luis I.
  • Agosin, Eduardo

Abstract

Wine is a complex product. Preferences for it are not only highly heterogeneous throughout the population, but also amply susceptible to context. The objective of this study is to discover and measure these preferences, focusing on a set of non-sensory attributes of wine. To identify the most relevant non-sensory attributes of wine, from the consumers’ standpoint we considered four sources: existing literature, a Delphi survey (applied to wine marketing experts), in- depth interviews and a web-page survey answered by fairly large sample of wine consumers. Not all sources were consistent on which attributes were the most important. Notably, consumers did not select price as a relevant attribute on the web survey, even though it had been considered relevant in the in-depth interviews. Finally, six wine attributes were selected for inclusion in a stated choice (SC) experiment: grape variety, alcohol level, label design, product recommendations, price and discounts. An efficient experimental design was then developed and a web based SC survey was applied to 274 regular wine consumers (who had already answered the previous web survey). These consumers have high income (among the richest 20% of the Chilean population), only 28% of them are female and 33% are 35 years old or younger. The SC experiment simulated a purchase, at a retail store, for a casual meal with friends. A fixed fictional brand was used for all the wines presented on the experiment. With this data we estimated various discrete choice models, including mixed logit and hybrid choice models. Grape variety was found to be the main driver of preferences. Evidence of preference for higher alcohol levels was also discovered. Price proved to be highly endogenous, as it is strongly related to wine’s expected quality. Recommendation by a friend and critics were equally valued, except in the case of (self-declared) expert consumers. Preferences over label designs showed high variability. The results also suggest that price is a key attribute in the construction of expected quality by the consumer before tasting the product.

Suggested Citation

  • Palma, David & Dios Ortuzar, Juan de & Casaubon, Gerard & Rizzi, Luis I. & Agosin, Eduardo, 2013. "Measuring consumer preferences using hybrid discrete choice models," Working Papers 164855, American Association of Wine Economists.
  • Handle: RePEc:ags:aawewp:164855
    DOI: 10.22004/ag.econ.164855
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/164855/files/AAWE_WP137.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.164855?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. Loureiro, Maria L., 2003. "Rethinking new wines: implications of local and environmentally friendly labels," Food Policy, Elsevier, vol. 28(5-6), pages 547-560.
    2. Louviere, Jordan J. & Islam, Towhidul, 2008. "A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best-worst scaling," Journal of Business Research, Elsevier, vol. 61(9), pages 903-911, September.
    3. John M. Rose & Michiel C. J. Bliemer, 2008. "Constructing Efficient Stated Choice Experimental Designs," Transport Reviews, Taylor & Francis Journals, vol. 29(5), pages 587-617, October.
    4. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    5. Jimenez, F. & Marshall, B. & Ortega, Jorge & Foster, William E., 2006. "Factores que intervienen en la frecuencia de consumo de vino en el sector oriente de Santiago, Chile," Economi­a Agraria (Revista Economia Agraria), Agrarian Economist Association (AEA), Chile, vol. 10, pages 1-16.
    6. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    7. Nadhem Mtimet & Luis Miguel Albisu, 2006. "Spanish wine consumer behavior: A choice experiment approach," Agribusiness, John Wiley & Sons, Ltd., vol. 22(3), pages 343-362.
    8. Kesten Green & J. Scott Armstrong & Andreas Graefe, 2007. "Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 8, pages 17-20, Fall.
    9. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    10. 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.
    11. Simone Mueller & Larry Lockshin & Jordan Louviere, 2010. "What you see may not be what you get: Asking consumers what matters may not reflect what they choose," Marketing Letters, Springer, vol. 21(4), pages 335-350, December.
    12. Klaus G. Grunert, 2005. "Food quality and safety: consumer perception and demand," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(3), pages 369-391, September.
    13. Jarvis, Wade & Mueller, Simone & Chiong, Kathleen, 2010. "A latent analysis of images and words in wine choice," Australasian marketing journal, Elsevier, vol. 18(3), pages 138-144.
    14. Richard Carew & Wojciech J. Florkowski, 2010. "The Importance of Geographic Wine Appellations: Hedonic Pricing of Burgundy Wines in the British Columbia Wine Market," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(1), pages 93-108, March.
    15. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    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. Villas-Boas, Sofia B, 2020. "Reduced Form Evidence on Belief Updating Under Asymmetric Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt08c456vk, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    3. Tiago Ribeiro & Armando Corsi & Larry Lockshin & Jordan Louviere & Simone Mueller Loose, 2020. "Analysis of consumer preferences for information and expert opinion using a discrete choice experiment," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 19(1), pages 67-80, January.
    4. Palma, David & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & Guevara, Cristian Angelo & Casaubon, Gerard & Ma, Huiqin, 2016. "Modelling choice when price is a cue for quality: a case study with Chinese consumers," Journal of choice modelling, Elsevier, vol. 19(C), pages 24-39.
    5. Bonnet, Céline & Hilger, James & Villas-Boas, Sofia B., 2017. "Reduced Form Evidence on Belief Updating under Asymmetric Information - The Case of Wine Expert Opinions," TSE Working Papers 17-834, Toulouse School of Economics (TSE), revised May 2019.

    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. Palma, David & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & Guevara, Cristian Angelo & Casaubon, Gerard & Ma, Huiqin, 2016. "Modelling choice when price is a cue for quality: a case study with Chinese consumers," Journal of choice modelling, Elsevier, vol. 19(C), pages 24-39.
    2. Lin, Wen & Nayga, Rodolfo M., 2022. "Green identity labeling, environmental information, and pro-environmental food choices," Food Policy, Elsevier, vol. 106(C).
    3. Macea, Luis F. & Cantillo, Victor & Arellana, Julian, 2018. "Influence of attitudes and perceptions on deprivation cost functions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 125-141.
    4. 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).
    5. María Feo-Valero & Leandro García-Menéndez & Salvador Saz-Salazar, 2016. "Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment," Transportation, Springer, vol. 43(1), pages 101-122, January.
    6. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    7. Dam, Thi Huyen Trang & Tur-Cardona, Juan & Speelman, Stijn & Amjath-Babu, T.S. & Sam, Anu Susan & Zander, Peter, 2021. "Incremental and transformative adaptation preferences of rice farmers against increasing soil salinity - Evidence from choice experiments in north central Vietnam," Agricultural Systems, Elsevier, vol. 190(C).
    8. Zheng, Zuduo & Washington, Simon & Hyland, Paul & Sloan, Keith & Liu, Yulin, 2016. "Preference heterogeneity in mode choice based on a nationwide survey with a focus on urban rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 178-194.
    9. Reema Bera & Bhargab Maitra, 2021. "Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    10. Le Goff, Alix & Monchambert, Guillaume & Raux, Charles, 2022. "Are solo driving commuters ready to switch to carpool? Heterogeneity of preferences in Lyon's urban area," Transport Policy, Elsevier, vol. 115(C), pages 27-39.
    11. Feo, María & Espino, Raquel & García, Leandro, 2011. "An stated preference analysis of Spanish freight forwarders modal choice on the south-west Europe Motorway of the Sea," Transport Policy, Elsevier, vol. 18(1), pages 60-67, January.
    12. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    13. Sanko, Nobuhiro & Yamamoto, Toshiyuki, 2013. "Estimation efficiency of RP/SP models considering SP design and error structures," Journal of choice modelling, Elsevier, vol. 6(C), pages 60-73.
    14. Uwamariya, Beatrice, 2014. "Assessment of Consumer Awareness and Preferences for Quality Certification and Origin-Labeling in Fruit Salads in Kigali,Rwanda," Research Theses 198512, Collaborative Masters Program in Agricultural and Applied Economics.
    15. Maya Abou-Zeid & Darren Scott, 2011. "Current issues in mode choice modeling," Transportation, Springer, vol. 38(4), pages 581-585, July.
    16. Parsons, George R. & Hidrue, Michael K. & Kempton, Willett & Gardner, Meryl P., 2014. "Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms," Energy Economics, Elsevier, vol. 42(C), pages 313-324.
    17. Kim, Dohee & Park, Byung-Jin (Robert), 2017. "The moderating role of context in the effects of choice attributes on hotel choice: A discrete choice experiment," Tourism Management, Elsevier, vol. 63(C), pages 439-451.
    18. Andy S. Choi & Kelly S. Fielding, 2016. "Cultural Attitudes as WTP Determinants: A Revised Cultural Worldview Scale," Sustainability, MDPI, vol. 8(6), pages 1-18, June.
    19. Vecchiato, D. & Tempesta, T., 2013. "Valuing the benefits of an afforestation project in a peri-urban area with choice experiments," Forest Policy and Economics, Elsevier, vol. 26(C), pages 111-120.
    20. repec:cup:judgdm:v:8:y:2013:i:6:p:700-716 is not listed on IDEAS
    21. John Rose & David Hensher, 2014. "Tollroads are only part of the overall trip: the error of our ways in past willingness to pay studies," Transportation, Springer, vol. 41(4), pages 819-837, July.

    More about this item

    Keywords

    Consumer/Household Economics; Demand and Price Analysis;

    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:aawewp:164855. 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/aaweeea.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.