Hostname: page-component-8448b6f56d-42gr6 Total loading time: 0 Render date: 2024-04-23T11:34:20.728Z Has data issue: false hasContentIssue false

Robust Demand Elasticities for Wine and Distilled Spirits: Meta-Analysis with Corrections for Outliers and Publication Bias*

Published online by Cambridge University Press:  20 November 2013

Jon P. Nelson*
Affiliation:
Department of Economics, Pennsylvania State University, University Park, PA 16802, email: jpn@psu.edu

Abstract

This paper conducts a meta-analysis of price and income elasticities for wine and distilled spirits, which correct for outliers and publication bias. The sample of wine elasticities is obtained from 104 primary studies, and the sample of spirits elasticities is obtained from 111 primary studies. Robust weighted-means and meta-regressions are reported that correct for outliers, heterogeneity, heteroskedasticity, dependence, and publication bias. Compared to unweighted averages previously reported in the literature, the analysis yields less-elastic demands for both price and income. Average price elasticities obtained using cumulative meta-analysis are −0.45 for wine and −0.55 for spirits. Average income elasticities are 1.0 for both beverages. Bias due to publication selectivity is important. Country-level differences also are noted for both wine and spirits. Policy implications are discussed for pricing and taxation of alcohol beverages. (JEL Classifications: Q11, C18, I12)

Type
Articles
Copyright
Copyright © American Association of Wine Economists 2013 

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.)

Footnotes

*

I am indebted to an anonymous referee for helpful comments and the International Center for Alcohol Policies (ICAP) for financial support. This paper presents the work product, findings, viewpoints, and conclusions solely of the author. Views expressed are not necessarily those of ICAP or any of ICAP's sponsoring companies.

References

Ashenfelter, O., Harmon, C., and Oosterbeek, H. (1999). A review of estimates of schooling/earnings relationship, with tests for publication bias. Labour Economics, 6, 453470.Google Scholar
Babor, T., Caetano, R., Casswell, S., et al. (2010). Alcohol: No Ordinary Commodity—Research and Public Policy. Oxford: Oxford University Press.Google Scholar
Borenstein, M., Hedges, L., Higgins, J., and Rothstein, H. (2008). Comprehensive Meta-Analysis, version 2.0. Englewood, NJ: Biostat.Google Scholar
Borenstein, M., Hedges, L.V., Higgins, J.P.T., and Rothstein, H.R. (2009). Introduction to Meta Analysis. Chichester: Wiley.Google Scholar
Borenstein, M., Hedges, L.V., Higgins, J.P.T., and Rothstein, H.R. (2010). A basic introduction to fixed effect and random-effects models for meta-analysis. Research Synthesis Methods, 1, 97111.Google Scholar
Card, D., and Krueger, A.B. (1995). Time-series minimum-wage studies: A meta analysis. American Economic Review, 85, 238243.Google Scholar
Cawley, J., and Ruhm, C.J. (2011). The economics of risky health behaviors. In Culyer, A.J. and Newhouse, J.P. (eds.), Handbook of Health Economics, vol. 2. Amsterdam: North-Holland, 95199.Google Scholar
Chaloupka, F.J. (2004). The effects of price on alcohol use, abuse, and their consequences. In Bonnie, R.J. and O'Connell, M.E. (eds.), Reducing Underage Drinking: A Collective Responsibility. Washington, DC: National Academies Press, 541564.Google Scholar
Collis, J., Grayson, A., and Johal, S. (2010). Econometric Analysis of Alcohol Consumption in the UK. HMRC working paper 10. London: HM Revenue & Customs.Google Scholar
Cook, P.J. (2007). Paying the Tab: The Costs and Benefits of Alcohol Policy. Princeton: Princeton University Press.Google Scholar
Cook, P.J., and Moore, M.J. (1994). This tax's for you: The case for higher beer taxes. National Tax Journal, 47, 559573.Google Scholar
Doucouliagos, H., and Stanley, T.D. (2013). Theory competition and selectivity: Are all economic facts greatly exaggerated? Journal of Economic Surveys, 27, 316339.Google Scholar
Duffy, J.C. (1978). Comment on “The single distribution theory of alcohol consumption.” Journal of Studies on Alcohol, 39, 16481650.Google Scholar
Duffy, J.C. (1986). The distribution of alcohol consumption patterns: 30 years on. British Journal of Addiction, 81, 735741.Google Scholar
Duffy, M. (1990). Advertising and alcoholic drink demand in the UK: Some further Rotterdam model estimates. International Journal of Advertising, 9, 247257.Google Scholar
Duffy, M. (1991). Advertising and the consumption of tobacco and alcoholic drink: A system-wide analysis. Scottish Journal of Political Economy, 38, 369385.Google Scholar
Duffy, M. (1995). Advertising in demand systems for alcoholic drinks and tobacco: A comparative study. Journal of Policy Modeling, 17, 557577.Google Scholar
Eakins, J.M., and Gallagher, L.A. (2003). Dynamic almost ideal demand systems: An empirical analysis of alcohol expenditure in Ireland. Applied Economics, 35, 10251036.Google Scholar
Edwards, G., Anderson, P., Babor, T.F., et al. (1994). Alcohol Policy and the Public Good. Oxford: Oxford University Press.Google Scholar
Egger, M., Davey-Smith, D., Schneider, M., and Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315, 629634.Google Scholar
Florax, R.J.G.M. (2002). Methodological pitfalls in meta-analysis: Publication bias. In Florax, R.J.G.M., Nijkamp, P., and Willis, K.G. (eds.), Comparative Environmental Economic Assessment. Cheltenham: Edward Elgar, 177207.Google Scholar
Fogarty, J. (2009). The demand for beer, wine and spirits: A survey of the literature. Journal of Economic Surveys, 24, 428478.Google Scholar
Gallet, C.A. (2007). The demand for alcohol: A meta-analysis of elasticities. Australian Journal of Agricultural and Resource Economics, 51, 121135.Google Scholar
Hedges, L., and Olkin, I. (1985). Statistical Methods for Meta-Analysis. Orlando: Academic Press.Google Scholar
Kennedy, P. (1986). Interpreting dummy variables. Review of Economics and Statistics, 68, 174175.Google Scholar
Kennedy, P. (2008). A Guide to Econometrics, 6th ed. Malden, MA: Blackwell.Google Scholar
Kerr, W.C., Patterson, D., Greenfield, T.K., et al. (2013). U.S. alcohol affordability and real tax rates, 1950–2011. American Journal of Preventive Medicine, 44, 459464.Google Scholar
Lariviere, E., Larue, B., and Chalfant, J. (2000). Modeling the demand for alcoholic beverages and advertising specifications. Agricultural Economics, 22, 147162.CrossRefGoogle Scholar
Leung, S.F., and Phelps, C.E. (1993). ‘My kingdom for a drink …?’ A review of estimates of the price sensitivity of demand for alcoholic beverages. In Hilton, M.E. and Bloss, G. (eds.), Economics and the Prevention of Alcohol-Related Problems. Washington, DC: National Institutes of Health, 131.Google Scholar
Nelson, J.P. (2011). Alcohol marketing, adolescent drinking, and publication bias in longitudinal studies: A critical survey using meta-analysis. Journal of Economic Surveys, 25, 191232.Google Scholar
Nelson, J.P. (2012). Estimating the price elasticity of beer: Meta-analysis of data with heterogeneity, dependence, and publication bias. Department of Economics, Pennsylvania State University. Available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2200492/.Google Scholar
Nelson, J.P. (2013a). Meta-analysis: Statistical methods. In Johnston, R., Rolfe, J., and Rosenberger, R. et al. (eds.), Benefit Transfer of Environmental and Resource Values: A Handbook for Researchers and Practitioners. New York: Springer (forthcoming).Google Scholar
Nelson, J.P. (2013b). Does heavy drinking by adults respond to higher alcohol prices and taxes? A survey and assessment. Economic Analysis & Policy (forthcoming). Available at www.eap-journal.com/forthcoming.php.Google Scholar
Nelson, J.P., and Kennedy, P.E. (2009). The use (and misuse) of meta-analysis in environmental and natural resource economics: An assessment. Environmental and Resource Economics, 42, 345377.CrossRefGoogle Scholar
Ornstein, S.I., and Levy, D. (1983). Price and income elasticities of demand for alcoholic beverages. In Galanter, M. (ed.), Recent Development in Alcoholism, vol. 1. New York: Plenum Press, 303405.Google Scholar
Pompelli, G., and Heien, D. (1991). Discrete/continuous consumer demand choices: An application to the U.S. domestic and imported white wine markets. European Review of Agricultural Economics, 18, 117130.Google Scholar
Roberts, C.J., and Stanley, T.D. (2005). Meta-Regression Analysis: Issues of Publication Bias in Economics. Malden, MA: Blackwell.Google Scholar
Rothstein, H.R., Sutton, A.J., and Borenstein, M. (2005). Publication bias in meta-analysis. In Rothstein, H.R., Sutton, A.J., and Borenstein, M. (eds.), Publication Bias in Meta-Analysis—Prevention, Assessment and Adjustments. Chichester: Wiley, 17.Google Scholar
Saunders, J.B., and de Burgh, S. (1998). The distribution of alcohol consumption, In Grant, M. and Litvak, J. (eds.), Drinking Patterns and Their Consequences. Washington, DC: Taylor & Francis, 129152.Google Scholar
Seabrook, R. (2010). A new measure of alcohol affordability for the UK. Alcohol and Alcoholism, 45, 581585.Google Scholar
Selvanathan, S., and Selvanathan, E.A. (2005). Empirical regularities in cross-country alcohol consumption. Economic Record, 81, s128s142.Google Scholar
Selvanathan, S., and Selvanathan, E.A. (2006). How similar are alcohol drinkers? International evidence. Applied Economics, 38, 13531362.Google Scholar
Selvanathan, S., and Selvanathan, E.A. (2007). Another look at the identical tastes hypothesis on the analysis of cross-country alcohol data. Empirical Economics, 32, 185215.Google Scholar
Smith, V.K., and Huang, J.-C. (1995). Can markets value air quality? A meta-analysis of hedonic property value models. Journal of Political Economy, 103, 209227.Google Scholar
Song, F., Eastwood, A.J., Gilbody, S., et al. (2000). Publication and related biases. Health Technology Assessment, 4, 1115. Available at www.ncchta.org.Google Scholar
Stanley, T.D. (2001). Wheat from chaff.: Meta-analysis as quantitative literature review. Journal of Economic Perspectives, 15, 131150.Google Scholar
Stanley, T.D. (2005). Beyond publication bias. Journal of Economic Surveys, 19, 309345.Google Scholar
Stanley, T.D., and Doucouliagos, H. (2012). Meta-Regression Analysis in Economics and Business. New York: Routledge.Google Scholar
Stanley, T.D., Jarrell, S.B., and Doucouliagos, C. (2010). Could it be better to discard 90% of the data? A statistical paradox. American Statistician, 64, 7077.Google Scholar
Stockwell, T., Zhao, J., Giesbrecht, N., et al. (2012). The raising of minimum alcohol prices in Saskatchewan, Canada: Impacts on consumption and implications for public health. American Journal of Public Health, 102, e103e110.Google Scholar
Suits, D.B. (1984). Dummy variables: Mechanics v. interpretation. Review of Economics and Statistics, 66, 177180.Google Scholar
Sutton, A.J., Abrams, K.R., Jones, D.R., et al. (2000). Methods for Meta-Analysis in Medical Research. Chichester: Wiley.Google Scholar
Tremblay, V.J., and Tremblay, C.H. (2005). The U.S. Brewing Industry: Data and Economic Analysis. Cambridge: MIT Press.Google Scholar
Wagenaar, A.C., Salois, M.J., and Komro, K.A. (2009). Effects of beverage alcohol price and tax levels on drinking: A meta-analysis of 1003 estimates from 112 studies. Addiction, 104, 179190.Google Scholar