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Price as a Signal of Product Quality: Some Experimental Evidence*

Published online by Cambridge University Press:  03 July 2014

Giovanni Mastrobuoni
Affiliation:
Department of Economics, University of Essex and Collegio Carlo Alberto; e-mail: gmastrob@essex.ac.uk.
Franco Peracchi*
Affiliation:
Tor Vergata University and EIEF, Rome, Italy
Aleksey Tetenov
Affiliation:
Collegio Carlo Alberto, Moncalieri, Italy; e-mail: aleksey.tetenov@carloalberto.org.
*
(corresponding author). e-mail: franco.peracchi@uniroma2.it

Abstract

We use experimental data to disentangle the signaling and budgetary effects of price on wine demand. The experimental design allows us to isolate the two effects in a simple and intuitive way. The signaling effect is present and nonlinear: it is strongly positive between 3 euros and 5 euros and undetectable between 5 euros and 8 euros. We find a similar nonlinear price–quality relationship in a large sample of wine ratings from the same price segment, supporting the hypothesis that taster behavior in the experiment is consistent with rationally using prices as signals of quality. Price signals also have greater importance for inexperienced (young) consumers. (JEL Classification: D11, D12, D82)

Type
Articles
Copyright
Copyright © American Association of Wine Economists 2014 

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Footnotes

*

We thank Karl Storchmann and two anonymous reviewers for their comments. We also thank Iván Fernández-Val, Ignacio Monzón, Andrea Pozzi, and participants at the 2011 AAWE Annual Conference for helpful discussions. Finally, we are grateful to Diego Tomasi, Rosa Arboretti Giancristofaro, Vasco Boatto, Livio Corain, Luigi Salmaso, and Tiziano Tempesta for providing their experimental data and to Altroconsumo for the data from their 2006–2012 wine guides.

References

Ali, H.H., and Nauges, C. (2007). The pricing of experience goods: The example of en primeur wine. American Journal of Agricultural Economics, 89(1), 91103.CrossRefGoogle Scholar
Ali, H.H., Lecocq, S., and Visser, M. (2008). The impact of gurus: Parker grades and en primeur wine prices. Economic Journal, 118(529), F158F173.CrossRefGoogle Scholar
Ashenfelter, O. (2008). Predicting the quality and prices of Bordeaux wine. Economic Journal, 118(529), F174F184.CrossRefGoogle Scholar
Bagwell, K. (2007). The economic analysis of advertising. In Armstrong, M. and Porter, R. (ed.), Handbook of Industrial Organization, vol. 3. Amsterdam: Elsevier, 17011844.Google Scholar
Ding, M., Grewal, R., and Liechty, J. (2005). Incentive-aligned conjoint analysis. Journal of Marketing Research, 42(1), 6782.CrossRefGoogle Scholar
Gautschi, D., and Rao, V.R. (1990). A methodology for specification and aggregation in product concept testing. In de Fontenay, Alain (ed.), Telecommunications Demand Modeling: An Integrated View. Amsterdam: North-Holland, 47–66.Google Scholar
Goldstein, R., Almenberg, J., Dreber, A., Emerson, J.W., Herschkowitsch, A., and Katz, J. (2008). Do more expensive wines taste better? Evidence from a large sample of blind tastings. Journal of Wine Economics, 3(1), 19.CrossRefGoogle Scholar
Heffetz, O., and Shayo, M. (2009). How large are non-budget-constraint effects of prices on demand? American Economic Journal: Applied Economics, 1(4), 170–99.Google Scholar
Ippolito, P.M., and Mathios, A.D. (1990). Information, advertising and health choices: A study of the cereal market. RAND Journal of Economics, 21(3), 459480.CrossRefGoogle Scholar
Ippolito, P.M., and Mathios, A.D. (1995). Information and advertising: The case of fat consumption in the United States. American Economic Review, 85(2), 9195.Google ScholarPubMed
Mahenc, P. (2004). Influence of informed buyers in markets susceptible to the lemons problem. American Journal of Agricultural Economics, 86(3), 649659.CrossRefGoogle Scholar
Oxenfeldt, A.R. (1950). Consumer knowledge: Its measurement and extent. Review of Economics and Statistics, 32(4), 300314.CrossRefGoogle Scholar
Plassmann, H., O'Doherty, J., Shiv, B., and Rangel, A. (2008). Marketing actions can modulate neural representations of experienced pleasantness. Proceedings of the National Academy of Sciences, 105(3), 10501054.CrossRefGoogle ScholarPubMed
Rao, A.R., and Monroe, K.B. (1989). The effect of price, brand name, and store name on buyers’ perceptions of product quality: An integrative review. Journal of Marketing Research, 26(3), 351357.Google Scholar
Rao, V.R., and Sattler, H. (2003). Measurement of price effects with conjoint analysis: Separating informational and allocative effects of price. In Gustafsson, A., Herrmann, A., and Huber, F. (ed.), Conjoint Measurement: Methods and Applications. Berlin: Springer, 4766.CrossRefGoogle Scholar
Schnabel, H., and Storchmann, K. (2010). Prices as quality signals: Evidence from the wine market. Journal of Agricultural & Food Industrial Organization, 8(1), Article 2.CrossRefGoogle Scholar
Shapiro, C. (1983). Premiums for high quality products as returns to reputations. Quarterly Journal of Economics, 98(4), 659679.CrossRefGoogle Scholar
Spence, M. (1976). Informational aspects of market structure: An introduction. Quarterly Journal of Economics, 90(4), 591597.CrossRefGoogle Scholar
Tellis, G.J., and Wernerfelt, B. (1987). Competitive price and quality under asymmetric information. Marketing Science, 6(3), 240253.CrossRefGoogle Scholar
Tempesta, T., Arboretti Cristofaro, R., Corain, L., Salmaso, L., Tomasi, D., and Boatto, V. (2010). The importance of landscape in wine quality perception: An integrated approach using choice-based conjoint analysis and combination-based permutation tests. Food Quality and Preferences, 21, 827836.CrossRefGoogle Scholar
Völckner, F., and Sattler, H. (2005). Separating negative and positive effects of price with choice-based conjoint analyses. Marketing Journal of Research and Management, 1(1), 513.Google Scholar