IDEAS home Printed from
   My bibliography  Save this paper

An hedonic approach applied to scanner data on cured ham purchases in Spain


  • Resano, H.
  • Sanjuan, Ana Isabel


A quantity-dependent hedonic model is used to study consumers’ actual purchases of cured ham, recorded through scanner in Spain, between April 2003 and March 2004. A Zero Inflated Negative Binomial (ZIB) model is applied because of the high proportion of zero purchase-values and the finding of overdispersion in the data. Ham characteristics are used as explanatory variables, such as breed, origin, EU Quality Certification squemes (PDO, PGI, STG), type of brand (producer’s and distributor’s), sale format (whole leg, vacuum packaged, on request), ripening period and price. Monthly dummies variables are also added to capture a possible seasonal effect. The results show that the distributor’s brand, the whole leg sale format, the origin Teruel and its certification through a PDO are the main attributes affecting cured ham purchases. The Quality Certification has a significant effect when added to a locally produced ham (PDO Teruel), while in general, it has a negative impact. Vacuum packages and ripening period, have a negative impact on the quantity purchased. The positive impact of the attributes on cured ham purchases are reinforced when attached with Iberian ham, especially in the case of a distributor’s brand and a whole leg sale format. In addition, the negative impact of the vacuum packages is mitigated when the breed of the ham is Iberian.

Suggested Citation

  • Resano, H. & Sanjuan, Ana Isabel, 2008. "An hedonic approach applied to scanner data on cured ham purchases in Spain," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44383, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae08:44383

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. John W. Haeger & Karl Storchmann, 2006. "Prices of American Pinot Noir wines: climate, craftsmanship, critics," Agricultural Economics, International Association of Agricultural Economists, vol. 35(1), pages 67-78, July.
    2. Maria Luz Loureiro & Jill J. McCluskey, 2000. "Assessing consumer response to protected geographical identification labeling," Agribusiness, John Wiley & Sons, Ltd., vol. 16(3), pages 309-320.
    3. Nerlove, Marc, 1995. "Hedonic price functions and the measurement of preferences: The case of Swedish wine consumers," European Economic Review, Elsevier, vol. 39(9), pages 1697-1716, December.
    4. Cameron, Trudy Ann & Englin, Jeffrey, 1997. "Respondent Experience and Contingent Valuation of Environmental Goods," Journal of Environmental Economics and Management, Elsevier, vol. 33(3), pages 296-313, July.
    5. Karipidis, Philippos I. & Tsakiridou, Efthimia & Tabakis, Nikolaos M. & Mattas, Konstadinos, 2005. "Hedonic Analysis of Retail Egg Prices," Journal of Food Distribution Research, Food Distribution Research Society, vol. 36(03), November.
    6. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    8. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    9. Durham, Catherine A. & Pardoe, Iain & Vega-H, Esteban, 2004. "A Methodology for Evaluating How Product Characteristics Impact Choice in Retail Settings with Many Zero Observations: An Application to Restaurant Wine Purchase," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(01), April.
    10. Svetlana Edmeades & Melinda Smale, 2006. "A trait-based model of the potential demand for a genetically engineered food crop in a developing economy," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 351-361, November.
    Full references (including those not matched with items on IDEAS)

    More about this item


    hedonic analysis; consumers; zero inflated negative binomial; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:eaae08:44383. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.