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Restaurant Wines: Bottle Margins and the By-the-Glass Option

Published online by Cambridge University Press:  14 December 2021

James A. Dearden*
Affiliation:
Department of Economics, Lehigh University, 621 Taylor Street, Bethlehem, PA18015
Xiaohui Guo
Affiliation:
International School of Economics and Management, Capital University of Economics and Business, 121 Shoujingmao S Rd, Beijing, China 100026; e-mail: guo.xiaohui007@hotmail.com; School of Insurance and Economics, University of International Business and Economics, 10 Huixin East Street, Beijing, China100029.
Chad D. Meyerhoefer
Affiliation:
Department of Economics, Lehigh University, 621 Taylor Street, Bethlehem, PA18015; e-mail: chm308@lehigh.edu.
*
e-mail: jad8@lehigh.edu (corresponding author).

Abstract

Using a sample of New York City restaurants, we examine the relationship between a wine's bottle margin and whether the restaurant offers that same wine by the glass. We find that restaurants offer less expensive wines by the glass but set higher margins on these bottles than for similar wines offered only in bottles. Overall, offering wine by the glass is associated with a 5.0% increase in the bottle price and a 12.2% increase in the bottle margin. We find similar results for retail and wholesale markups of wine bottles. Our results offer evidence that settles a theoretical ambiguity in the menu-pricing literature (Anderson and Dana, 2009) about whether to raise or lower the price of a high-quantity package when introducing a low-quantity package of a good, as it applies to restaurant wine pricing. (JEL Classifications: L11, L83)

Type
Articles
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of American Association of Wine Economists

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Footnotes

We thank the editor, Karl Storchmann, and two anonymous reviewers for their helpful comments. These authors contributed equally to this paper. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors have no conflicts of interest.

References

Acuti, D., Mazzoli, V., Grazzini, L., and Rinaldi, R. (2020). New patterns in wine consumption: The wine by the glass trend. British Food Journal, 122(8), 26552669.10.1108/BFJ-04-2019-0299CrossRefGoogle Scholar
Altonji, J., Elder, T., and Taber, C. (2005). Selection on observed and unobserved variables: Assessing the effectiveness of catholic schools. Journal of Political Economy, 113(1), 151184.10.1086/426036CrossRefGoogle Scholar
Anderson, E. T., and Dana, J. D. Jr. (2009). When is price discrimination profitable? Management Science, 55(6), 980989.10.1287/mnsc.1080.0979CrossRefGoogle Scholar
August, T., Dao, D., and Shin, H. (2015). Optimal timing of sequential distribution: The impact of congestion externalities and day-and-date strategies. Marketing Science, 34(5), 755774.10.1287/mksc.2015.0936CrossRefGoogle Scholar
Back, R., Liu, X., Niklas, B., Storchmann, K., and Vink, N. (2019). Margins of fair trade wine along the supply chain: Evidence from South African wine in the U.S. market. Journal of Wine Economics, 14(3), 274297.10.1017/jwe.2019.32CrossRefGoogle Scholar
Berenguer, G., Gil, I., and Ruiz, M. E. (2009). Do upscale restaurant owners use wine lists as a differentiation strategy? International Journal of Hospitality Management, 28(1), 8695.10.1016/j.ijhm.2008.04.003CrossRefGoogle Scholar
Bhargava, H. K., and Choudhary, V. (2008). When is versioning optimal for information goods? Management Science, 54(5), 10291035.10.1287/mnsc.1070.0773CrossRefGoogle Scholar
Calzada, J., and Valletti, T. M. (2012). Intertemporal movie distribution: Versioning when customers can buy both versions. Marketing Science, 31(4), 649667.10.1287/mksc.1120.0716CrossRefGoogle Scholar
Coqueret, G. (2015). Optimal wine pricing for restaurants. Journal of Wine Economics, 10(2), 204224.10.1017/jwe.2015.19CrossRefGoogle Scholar
de Meza, D., and Pathania, V. (2021). Is the second-cheapest wine a rip-off? Economics vs. psychology in product-line pricing. American Association of Wine Economists, Working Paper No. 264, March. Available at https://wine-economics.org/wp-content/uploads/2021/04/AAWE_WP264.pdf (accessed July 26, 2021).Google Scholar
Draganska, M., and Jain, D. C. (2006). Consumer preferences and product-line pricing strategies: An empirical analysis. Marketing Science, 25(2), 164174.10.1287/mksc.1050.0126CrossRefGoogle Scholar
Duan, N. (1983). Smearing estimate: A nonparametric retransformation method. Journal of the American Statistical Association, 78(383), 605610.10.1080/01621459.1983.10478017CrossRefGoogle 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), 205212.10.1016/j.ijindorg.2009.08.003CrossRefGoogle Scholar
Durham, C. A., Pardoe, I., and Vega-H, E. (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, 29(1), 112131.Google Scholar
Gu, Z., and Yang, S. (2010). Quantity-discount-dependent consumer preferences and competitive nonlinear pricing. Journal of Marketing Research, 47(6), 11001113.10.1509/jmkr.47.6.1100CrossRefGoogle Scholar
Ho, J. Y., Liang, Y., Weinberg, C. B., and Yan, J. (2018). An empirical study of uniform and differential pricing in the movie theatrical market. Journal of Marketing Research, 55(3), 414431.10.1509/jmr.14.0632CrossRefGoogle Scholar
Krishna, A., Wagner, M., Yoon, C., and Adaval, R. (2006). Effects of extreme-priced products on consumer reservation prices. Journal of Consumer Psychology, 16(2), 176190.10.1207/s15327663jcp1602_8CrossRefGoogle Scholar
Kuksov, D., and Villas-Boas, J. M. (2010). When more alternatives lead to less choice. Marketing Science, 29(3), 507524.10.1287/mksc.1090.0535CrossRefGoogle Scholar
Landon, S., and Smith, C. (1998). Quality expectations, reputation, and price. Southern Economic Journal, 64(3), 628647.Google Scholar
Leslie, P. (2004). Price discrimination in Broadway theatre. RAND Journal of Economics, 35(3), 520541.10.2307/1593706CrossRefGoogle Scholar
Livat, F., and Remaud, H. (2018). Factors affecting wine price mark-up in restaurants. Journal of Wine Economics, 13(2), 144159.10.1017/jwe.2018.18CrossRefGoogle Scholar
Lott, J., and Roberts, R. (1991). A guide to the pitfalls of identifying price discrimination. Economic Inquiry, 29(1), 1423.10.1111/j.1465-7295.1991.tb01249.xCrossRefGoogle Scholar
Maskin, E., and Riley, J. (1984). Monopoly with incomplete information. Rand Journal of Economics, 15(2), 171196.10.2307/2555674CrossRefGoogle Scholar
McManus, B. (2007). Nonlinear pricing in an oligopoly market: The case of specialty coffee. RAND Journal of Economics, 38(2), 513533.10.1111/j.1756-2171.2007.tb00081.xCrossRefGoogle Scholar
Mussa, M., and Rosen, S. (1978). Monopoly and product quality. Journal of Economic Theory, 18(2), 301317.10.1016/0022-0531(78)90085-6CrossRefGoogle Scholar
Oster, E. (2019). Unobservable selection and coefficient stability: Theory and evidence. Journal of Business & Economic Statistics, 37(2), 187204.10.1080/07350015.2016.1227711CrossRefGoogle Scholar
Rao, A. (2015). Online content pricing: Purchase and rental markets. Marketing Science, 34(3), 430451.10.1287/mksc.2014.0896CrossRefGoogle Scholar
Roberts, G. (2010). The lowdown on restaurant markups. Wine Enthusiast. Available at https://www.winemag.com/2010/05/07/the-lowdown-on-restaurant-markups/ (accessed May 6, 2018).Google Scholar
Tversky, A., and Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 11241131.10.1126/science.185.4157.1124CrossRefGoogle ScholarPubMed
Xu, Z., and Dukes, A. (2019). Product line design under preference uncertainty using aggregate consumer data. Marketing Science, 38(4), 669689.10.1287/mksc.2019.1160CrossRefGoogle Scholar