IDEAS home Printed from
   My bibliography  Save this article

Wine Prices and Quality Ratings: A Meta-regression Analysis


  • Edward Oczkowski
  • Hristos Doucouliagos


This article examines the empirical support for the hypothesized hedonic theoretical relation between the price of wine and its quality. The examination considers over 180 hedonic wine price models developed over 20 years, covering many countries. The research identifies that the relation between the price of wine and its sensory quality rating is a moderate partial correlation of +0.30. This correlation exists despite the lack of information held by consumers about a wine's quality and the inconsistency of expert tasters when evaluating wines. The results identify a moderate price-quality correlation, which suggests the existence of strategic buying opportunities for better informed consumers. Strategic price setting possibilities may also exist for wine producers given the incomplete quality information held by consumers. The results from the meta-regression analysis point to the absence of any publication bias, and attribute the observed asymmetry in estimates to study heterogeneity. The analysis suggests the observed heterogeneity is explained by the importance of a wine's reputation, the use of the 100-point quality rating scale, the analysis of a single wine variety/style, and the employed functional form. The most important implication from the analysis is the relative importance of a wine's reputation over its sensory quality, inferring that producers need to sustain the sensory quality of a wine over time to extract appropriate returns. The reputation of the wine producer is found not to influence the strength of the price-quality relationship. This finding does not contradict the importance of wine producer reputation in directly influencing prices.

Suggested Citation

  • Edward Oczkowski & Hristos Doucouliagos, 2015. "Wine Prices and Quality Ratings: A Meta-regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 103-121.
  • Handle: RePEc:oup:ajagec:v:97:y:2015:i:1:p:103-121.

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021. "How measurement error affects inference in linear regression," Empirical Economics, Springer, vol. 60(1), pages 131-155, January.
    2. Dieter Pennerstorfer & Christoph Weiss & Andreas Huber, 2019. "Experts, Reputation and Umbrella Effects: Empirical Evidence from Wine Prices," Economics working papers 2019-08, Department of Economics, Johannes Kepler University Linz, Austria.
    3. Edward Oczkowski, 2016. "Analysing Firm-level Price Effects for Differentiated Products: The Case of Australian Wine Producers," Australian Economic Papers, Wiley Blackwell, vol. 55(1), pages 43-62, March.
    4. Fedoseeva, Svetlana, 2020. "(Dynamic) willingness to pay and e-commerce: Insights from sparkling wine sector in Russia," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    5. Jean‐Sauveur Ay, 2021. "The Informational Content of Geographical Indications," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 523-542, March.
    6. Chaikumbung, Mayula & Doucouliagos, Hristos & Scarborough, Helen, 2016. "The economic value of wetlands in developing countries: A meta-regression analysis," Ecological Economics, Elsevier, vol. 124(C), pages 164-174.
    7. repec:wly:econjl:v::y:2017:i:605:p:f236-f265 is not listed on IDEAS
    8. Woods, Timothy A. & Deng, Xueting & Nogueira, Lia & Yang, Shang-Ho, 2015. "Local Wine Expenditure Determinants in the Northern Appalachian States," Journal of Food Distribution Research, Food Distribution Research Society, vol. 46(2), pages 1-21, July.
    9. Fariñas, José C. & Martín-Marcos, Ana & Velázquez, Francisco J., 2019. "Estimating the Scope Elasticity of Multinational Firms: An Empirical Assessment," MPRA Paper 94990, University Library of Munich, Germany.
    10. Susana López‐Bayón & Marta Fernández‐Barcala & Manuel González‐Díaz, 2020. "In search of agri‐food quality for wine: Is it enough to join a geographical indication?," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 568-590, October.
    11. Olivier BARGAIN & Jean-Marie CARDEBAT & Raphaël CHIAPPINI, 2020. "Trade Uncorked: Genetic Resistance and Quality Heterogeneity in Wine Exports," Bordeaux Economics Working Papers 2020-18, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    12. Peschel, Anne O. & Grebitus, Carola & Colson, Gregory & Hu, Wuyang, 2016. "Explaining the use of attribute cut-off values in decision making by means of involvement," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 58-66.
    13. Catherine Haeck & Giulia Meloni & Jo Swinnen, 2018. "The Value of Terroir. A historical analysis of the Bordeaux and Champagne geographical indications," Working Papers of Department of Economics, Leuven 634338, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    14. Chaikumbung, Mayula & Doucouliagos, Hristos & Scarborough, Helen, 2019. "Institutions, Culture, and Wetland Values," Ecological Economics, Elsevier, vol. 157(C), pages 195-204.
    15. Stefano Castriota & Alessandro Fedele, 2021. "Does Excellence Pay Off? Theory and Evidence from the Wine Market," BEMPS - Bozen Economics & Management Paper Series BEMPS77, Faculty of Economics and Management at the Free University of Bozen.
    16. Eric Le Fur & Jean-François Outreville, 2019. "Fine wine returns: a review of the literature," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 196-214, May.
    17. Demena, B.A. & Afesorgbor, S.K., 2019. "The effect of FDI on environmental emissions : Evidence from a meta-analysis," ISS Working Papers - General Series 650, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    18. John P. A. Ioannidis & T. D. Stanley & Hristos Doucouliagos, 2017. "The Power of Bias in Economics Research," Economic Journal, Royal Economic Society, vol. 127(605), pages 236-265, October.
    19. Demena, Binyam Afewerk & Afesorgbor, Sylvanus Kwaku, 2020. "The effect of FDI on environmental emissions: Evidence from a meta-analysis," Energy Policy, Elsevier, vol. 138(C).
    20. Vidoli, Francesco & Cardillo, Concetta & Fusco, Elisa & Canello, Jacopo, 2016. "Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 153-164.

    More about this item


    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:oup:ajagec:v:97:y:2015:i:1:p:103-121.. 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: (Oxford University Press) The email address of this maintainer does not seem to be valid anymore. Please ask Oxford University Press to update the entry or send us the correct email address or (Christopher F. Baum). 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.

    We have no references for this item. You can help adding them by using 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.