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Alcohol Consumption in Australia: An Application of the Ordered Generalised Extreme Value Model

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Author Info
Xueyan Zhao
Mark Harris
Preety Ramful

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Abstract

The adverse effects of excessive alcohol consumption are well-known. Of great concern to policy makers is to understand the potentially different drivers for consumers of different levels of alcohol consumption. Using unit record data from the Australian Drug Strategy Household Surveys, this paper estimates an Ordered Generalised Extreme Value model to identify the factors that influence differing levels of alcohol consumption. Unlike previous studies using inflexible approaches such as Ordered Probits/Logits or Multinomial Logits, the OGEV model is both flexible and consistent with random utility maximization. The results suggest that important drivers are: age; income; education; gender; and own and cross-pric

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Paper provided by Econometric Society in its series Econometric Society 2004 Australasian Meetings with number 301.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:ausm04:301

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Related research
Keywords: Drug consumption; discrete ordered data; Ordered Generalised Extreme Value model; random utility maximisation; rational addiction.;

Find related papers by JEL classification:
C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
D1 - Microeconomics - - Household Behavior
I1 - Health, Education, and Welfare - - Health

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    Other versions:
  2. Manning, Willard G. & Blumberg, Linda & Moulton, Lawrence H., 1995. "The demand for alcohol: The differential response to price," Journal of Health Economics, Elsevier, vol. 14(2), pages 123-148, June. [Downloadable!] (restricted)
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  6. Frank J. Chaloupka & Henry Wechsler, 1996. "Binge Drinking In College: The Impact Of Price, Availability, And Alcohol Control Policies," Contemporary Economic Policy, Western Economic Association International, vol. 14(4), pages 112-124, October. [Downloadable!] (restricted)
  7. Fry, Tim R. L. & Harris, Mark N., 1996. "A Monte Carlo study of tests for the independence of irrelevant alternatives property," Transportation Research Part B: Methodological, Elsevier, vol. 30(1), pages 19-30, February. [Downloadable!] (restricted)
  8. Kenkel, Donald S, 1996. "New Estimates of the Optimal Tax on Alcohol," Economic Inquiry, Oxford University Press, vol. 34(2), pages 296-319, April.
  9. Small, Kenneth A, 1987. "A Discrete Choice Model for Ordered Alternatives," Econometrica, Econometric Society, vol. 55(2), pages 409-24, March. [Downloadable!] (restricted)
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  11. Farrell, Susan & Manning, Willard G. & Finch, Michael D., 2003. "Alcohol dependence and the price of alcoholic beverages," Journal of Health Economics, Elsevier, vol. 22(1), pages 117-147, January. [Downloadable!] (restricted)
  12. Mullahy, John & Sindelar, Jody L, 1993. "Alcoholism, Work, and Income," Journal of Labor Economics, University of Chicago Press, vol. 11(3), pages 494-520, July. [Downloadable!] (restricted)
  13. Frank J. Chaloupka & Adit Laixuthai, 1997. "Do Youths Substitute Alcohol and Marijuana? Some Econometric Evidence," Eastern Economic Journal, Eastern Economic Association, vol. 23(3), pages 253-276, Summer. [Downloadable!]
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  14. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August. [Downloadable!] (restricted)
    Other versions:
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  1. Ramful, Preety & Zhao, Xueyan, 2006. "Heterogeneity in Alcohol Consumption: The Case of Beer, Wine and Spirits in Australia," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25359, International Association of Agricultural Economists. [Downloadable!]
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