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Beer in Good Times and Bad: A U.S. State-Level Analysis of Economic Conditions and Alcohol Consumption*

Published online by Cambridge University Press:  08 June 2012

Donald G. Freeman
Affiliation:
Department of Economics & International Business, Sam Houston State University, P.O. Box 2118, Huntsville, Texas 77341–2118. e-mail: freeman@shsu.edu

Abstract

Data on U.S. state-level beer shipments from 1970 to 2007 provided by The Beer Institute are used to estimate pooled time-series models of annual consumption regressed on economic and demographic variables, using the common correlated effects (CCE) estimators to control for unobserved common effects and to allow for heterogeneous responses across units. Beer is found to be a procyclical good, varying negatively with the state unemployment rate. Previous findings for the negative effect of excise taxes on consumption are supported, though the estimated elasticities are smaller than those reported in earlier research. Demographics have a significant and material effect on consumption, with larger shares of young adults in the population implying greater consumption of beer per capita. (JEL Classification: D12, C23)

Type
Articles
Copyright
Copyright © American Association of Wine Economists 2011

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References

Ahrens, D (2004). Investing in Vice: The Recession-Proof Portfolio of Booze, Bets, Bombs, and Butts. New York, NY: St Martin's Press.Google Scholar
The Beer Institute (formerly the United States Brewers Association). The Brewers' Almanac (various issues). Washington, DC: The Beer Institute.Google Scholar
Blake, D. and Nied, A. (1997). The demand for alcohol in the United Kingdom. Applied Economics, 29, 16551672.CrossRefGoogle Scholar
Brenner, M.H. and Mooney, A. (1983). Unemployment and health in the context of economic change. Social Science & Medicine, 17, 11251138.CrossRefGoogle ScholarPubMed
Clements, K.W. and Johnson, L.W. (1983). The demand for beer, wine and spirits: a system-wide analysis. Journal of Business, 56(3), 273304.CrossRefGoogle Scholar
Clements, K.W. and Selvanathan, E.A. (1987). Alcohol consumption. In: Theil, H. and Clements, K.W. (eds.), Applied Demand Analysis: Results from System-Wide Approaches. Cambridge, MA: Ballinger Publishing Co.Google Scholar
Coakley, J., Fuertes, A. and Smith, R. (2004). Unobserved heterogeneity in panel time series models. Working Paper BWPEF 0403, University of London Birbeck.Google Scholar
Dee, T.S. (1999). State alcohol policies, teen drinking, and traffic fatalities. Journal of Public Economics, 72, 289315.CrossRefGoogle Scholar
Dee, T.S. (2001). Alcohol abuse and economics conditions: evidence from repeated cross-sections of individual-level data. Health Economics, 10, 257270.CrossRefGoogle ScholarPubMed
Fair, R.C. and Dominguez, K.M. (1991). Effects of the changing US Age distribution on macroeconomic equations. American Economic Review, 81(5), 12761294.Google Scholar
Freeman, D.G. (1999). A note on economics conditions and alcohol problems. Journal of Health Economics, 18(5), 661670.CrossRefGoogle ScholarPubMed
Freeman, D.G. (2000). Alternative panel estimates of alcohol demand, taxation, and the business cycle. Southern Economic Journal, 67(2), 325344.Google Scholar
Freeman, D.G. (2001). Beer and the business cycle. Applied Economics Letters, 2001(8), 5154.CrossRefGoogle Scholar
Freeman, D.G. (2007). Drunk driving legislation and traffic fatalities: new evidence on BAC 08 laws. Contemporary Economic Policy, 25(3), 293308.CrossRefGoogle Scholar
Granados, J.A.T. (2005). Response: on economic growth, business fluctuations, and health progress. International Journal of Epidemiology, 34, 12261233.CrossRefGoogle Scholar
Hsiao, C. (2003). Analysis of Panel Data. Cambridge, UK: Cambridge University Press.CrossRefGoogle 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, 11111120.CrossRefGoogle ScholarPubMed
Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper No. 1229.CrossRefGoogle Scholar
Pesaran, M.H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74, 9671012.CrossRefGoogle Scholar
Pesaran, M.H. and Tosetti, E. (2207). Large panels with common factors and spatial correlations. CESifo Working Paper No. 2103.Google Scholar
Ruhm, C.J. (1996). Economic conditions and alcohol problems. Journal of Health Economics, 14, 583603.CrossRefGoogle Scholar
Ruhm, C.J., (2000). Are recessions good for your health? The Quarterly Journal of Economics, 115(2), 617650.CrossRefGoogle Scholar
Ruhm, C.J. and Black, W.E. (2002). Does drinking really decrease in bad times? Journal of Health Economics, 21, 659678.CrossRefGoogle ScholarPubMed
Selvanathan, E.A. and Selvanathan, S. (2004). Economic and demographic factors in Australian alcohol demand. Applied Economics, 36, 24052417.CrossRefGoogle Scholar
Sloan, F.A., Reilly, B.A. and Schenzler, C. (1995). Effects of tort liability and insurance on heavy drinking and drinking and driving. Journal of Law and Economics, 38, 4978.CrossRefGoogle Scholar
Sogaard, J. (2002). Econometric critique of the economic change model of mortality. Social Science and Medicine, 34, 947957.CrossRefGoogle Scholar
Tremblay, V.J. and Tremblay, C.H. (2005). The US Brewing Industry: Data and Economic Analysis. Cambridge, MA: The MIT Press.Google Scholar
Winton, M., Heather, N. and Robertson, I. (1986). Effects of unemployment on drinking behavior: a review of the relevant evidence. Substance Use & Misuse, 21(12), 12611283.Google ScholarPubMed
Young, D.J. and Likens, T.W. (2000). Alcohol regulation and auto fatalities. International Review of Law and Economics, 20, 107126.CrossRefGoogle Scholar