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Identifying the Effects of Objective and Subjective Quality on Wine Prices*

Published online by Cambridge University Press:  19 October 2016

Edward Oczkowski*
Affiliation:
National Wine and Grape Industry Centre and School of Accounting and Finance, Charles Sturt University, P.O. Box 588, Wagga Wagga, New South Wales, 2678, Australia; e-mail: eoczkowski@csu.edu.au.

Abstract

This study examines a framework developed by Cardebat, Figuet, and Paroissien in a 2014 Journal of Wine Economics article for identifying the impacts of both objective and subjective quality on wine prices. We recognize how various specifications are observationally equivalent and that the interpretation of model estimates depends crucially on the posited assumption for the relation between price and objective and subjective quality. The proposed framework is applied to Australian premium wines. Results indicate that the price impact of expert personal opinions is similar to the impact of objective quality as estimated via weather, vintage, and producer fixed effects. The relative importance of objective quality compared with subjective quality depends crucially on the ability of expert scores to accurately reflect objective quality. (JEL Classifications: C21, Q11, Q54)

Type
Articles
Copyright
Copyright © American Association of Wine Economists 2016 

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Footnotes

*

Comments from an anonymous referee and communications with Jean-Marie Cardebat and Emmanuel Paroissien clarifying aspects of their article are gratefully acknowledged.

References

Ashenfelter, O. (2008). Predicting the quality and prices of Bordeaux wine. Economic Journal, 118(529), F174F184.Google Scholar
Ashton, R.H. (2012). Reliability and consensus of experienced wine judges: Expertise within and between? Journal of Wine Economics, 7(1), 7087.Google Scholar
Ashton, R.H. (2013). Is there consensus among wine quality ratings of prominent critics? An empirical analysis of red Bordeaux, 2004–2010. Journal of Wine Economics, 8(2), 225234.Google Scholar
Bollen, K.A. (1989). Structural Equations with Latent Variables. New York: John Wiley and Sons.Google Scholar
Cardebat, J.-M., Figuet, J.-M., and Paroissien, E. (2014). Expert opinion and Bordeaux wine prices: An attempt to correct biases in subjective judgments. Journal of Wine Economics, 9(3), 282303.Google Scholar
Cardebat, J.-M., and Paroissien, E. (2015). Standardizing expert wine scores: An application for Bordeaux en primeur . Journal of Wine Economics, 10(3), 329348.CrossRefGoogle Scholar
Dubois, P., and Nauges, C. (2010). Identifying the effect of unobserved quality and expert reviews in the pricing of experience goods: Empirical application on Bordeaux wine. International Journal of Industrial Organization, 28(3), 205212.Google Scholar
Ginsburgh, V., Monzak, M., and Monzak, A. (2013). Red wines of Médoc: What is wine tasting worth? Journal of Wine Economics, 8(2), 159188.CrossRefGoogle Scholar
Halliday, J. (2014). Australian Wine Companion, 2015 ed. Victoria, Richmond, Australia: Hardie Grant Books.Google Scholar
Lecocq, S., and Visser, M. (2006). What determines wine prices: Objective vs. sensory characteristics. Journal of Wine Economics, 1(1), 4256.Google Scholar
Masset, P., Weisskopf, J.-P., and Cossutta, M. (2015). Wine tasters, ratings and en primeur prices. Journal of Wine Economics, 10(1), 75107.Google Scholar
McKenzie, C., and McAleer, M. (1997). On efficient estimation and correct inference in models with generated regressors: A general approach. Japanese Economic Review, 48(4), 368389.Google Scholar
Nelson, J.P., and Kennedy, P.E. (2009). The use (and abuse) of meta-analysis in environmental and natural resource economics: An assessment. Environmental and Resource Economics, 42(3), 345377.Google Scholar
Oczkowski, E. (2001). Hedonic wine price functions and measurement error. Economic Record, 77(239), 374382.Google Scholar
Oczkowski, E. (2016). The effect of weather on wine quality and prices: An Australian spatial analysis. Journal of Wine Economics, 11(1), 4865.Google Scholar
Oczkowski, E., and Doucouliagos, H. (2015). Wine prices and quality ratings: A meta-regression analysis. American Journal of Agricultural Economics, 97(1), 103121.Google Scholar
Reynolds, A.G., ed. (2010a). Managing Wine Quality. Vol. 1, Viticulture and Wine Quality. Oxford: Woodhead.Google Scholar
Reynolds, A.G., ed. (2010b). Managing Wine Quality. Vol. 2, Oenology and Wine Quality. Oxford: Woodhead.Google Scholar
Schamel, G., and Anderson, K. (2003). Wine quality and varietal, regional and winery reputations: Hedonic prices for Australia and New Zealand. Economic Record, 79(246), 357369.Google Scholar
Stuen, E.T., Miller, J.R., and Stone, R.W. (2015). An analysis of wine critic consensus: A study of Washington and California wines. Journal of Wine Economics, 10(1), 4761.Google Scholar
Wooldridge, J.M. (2006). Introductory Econometrics: A Modern Approach, 3rd ed. Mason, OH: Thomson/South-Western.Google Scholar