Hostname: page-component-745bb68f8f-grxwn Total loading time: 0 Render date: 2025-01-12T15:16:32.707Z Has data issue: false hasContentIssue false
  • English
  • Français

Consumer-Level Determinants of Wine Purchases in Canadian Restaurants*

Published online by Cambridge University Press:  08 June 2012

Leigh J. Maynard  and
Kelly Davidson
Leigh J. Maynard
Affiliation:
Department of Agricultural Economics, University of Kentucky, Lexington, KY 40546–0276, tel. 859–257–7286, email: leigh.maynard@uky.edu (corresponding author)
Kelly Davidson
Affiliation:
Department of Agricultural Economics, University of Kentucky, Lexington, KY 40546–0276, tel. 859–257–7272, email: kelly.davidson@uky.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

Logistic regressions identified determinants of red and white wine purchases in formal and casual restaurants, using a detailed dataset of over 26,000 consumer-level food away-from-home purchases in two Canadian provinces during 2000–2005. Meal context regressors, and prior behavior associated mainly with unobserved heterogeneity, contributed most of the explanatory power, with observable demographic regressors playing a modest role. The main strategic recommendation is thus to focus wine marketing resources on the restaurant environment, with less emphasis on targeting specific audiences. (JEL Classification: C25, D12)

Type
Articles
Information
Journal of Wine Economics , Volume 4 , Issue 1 , Spring 2009 , pp. 10 - 24
Copyright
Copyright © American Association of Wine Economists 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anderson, T.W. and Hsiao, C. (1981). Estimation of dynamic models with error components. Journal of the American Statistical Association, 76, 598–606.CrossRefGoogle Scholar
Basso, A. (2000). U.S. import demand for red wine: A linear approximation of the dynamic almost ideal demand system. Unpublished masters thesis, University of Kentucky.Google Scholar
Blake, D. and Nied, A. (1997). The demand for alcohol in the United Kingdom. Applied Economics, 29, 1655–1672.Google Scholar
Blaylock, J.R. and Blisard, W.N. (1993). Wine consumption by US men. Applied Economics, 24, 645–651.Google Scholar
Clements, K.W. and Selvanathan, S. (1991). The economic determinants of alcohol consumption. Australian Journal of Agricultural Economics, 35, 209–231.Google Scholar
Costanigro, M., McCluskey, J.J. and Mittelhammer, R.C. (2007). Segmenting the wine market based on price: Hedonic regression when different prices mean different products. Journal of Agricultural Economics, 58, 454—466.CrossRefGoogle Scholar
Davidson, R. and MacKinnon, J.G. (1993). Estimation and Inference in Econometrics, New York: Oxford University Press.Google Scholar
Gao, X.M., Wailes, E.J. and Cramer, G.L. (1995). A microeconometric model analysis of US consumer demand for alcoholic beverages. Applied Economics, 27, 59–69.Google Scholar
Kerr, W.C., Greenfield, T.K., Bond, J., Ye, Y. and Rehm, J. (2004). Age, period and cohort influences on beer, wine and spirits consumption trends in the US national alcohol surveys. Addiction, 99, 1111–1120.CrossRefGoogle ScholarPubMed
Nayga, R.M. Jr.,(1996). Sample selectivity models for away from home expenditures on wine and beer. Applied Economics, 28, 1421–1425.CrossRefGoogle Scholar
Ogwang, T. and Cho, D.I. (2009). Economic determinants of the consumption of alcoholic beverages in Canada: A panel data analysis. Empirical Economics, forthcoming.CrossRefGoogle Scholar
Selvanathan, E.A. (1991). Cross-country alcohol consumption comparison: An application of the Rotterdam demand system. Applied Economics, 23, 1613–1622.CrossRefGoogle Scholar
Unwin, T. (1999). Hedonic price indexes and the qualities of wines. Journal of Wine Research, 10(2), 95–104.CrossRefGoogle Scholar