Chapter title |
Price and income elasticities of demand for alcoholic beverages.
|
---|---|
Chapter number | 18 |
Book title |
Genetics Behavioral Treatment Social Mediators and Prevention Current Concepts in Diagnosis
|
Published in |
Recent developments in alcoholism an official publication of the American Medical Society on Alcoholism the Research Society on Alcoholism and the National Council on Alcoholism, January 1983
|
DOI | 10.1007/978-1-4613-3617-4_18 |
Pubmed ID | |
Book ISBNs |
978-1-4613-3619-8, 978-1-4613-3617-4
|
Authors |
Ornstein, S I, Levy, D, Ornstein, Stanley I., Levy, David |
Abstract |
Estimating the demand for alcoholic beverages represents a difficult statistical problem. A number of studies have attempted to estimate the demand for beer, wine, distilled spirits, or total alcohol consumption. The results vary widely according to country of study, data used, and model and statistical technique. For the United States, most studies find the demand for beer to be relatively price inelastic, at around -0.3. The demand for distilled spirits appears to be unitary price elasticity or somewhat greater, around -1.5. The evidence on wine is too sketchy to draw any conclusions. There is no strong evidence of substitutability among beer, wine, and distilled spirits based on econometric models, nor evidence that advertising plays a strong role in the aggregate demand for beer, wine, or distilled spirits. The main policy implication is that price increases to control consumption will have a stronger impact on the consumption of distilled spirits than on beer. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 15% |
Researcher | 4 | 12% |
Student > Postgraduate | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Student > Master | 3 | 9% |
Other | 2 | 6% |
Unknown | 13 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 18% |
Economics, Econometrics and Finance | 4 | 12% |
Business, Management and Accounting | 3 | 9% |
Agricultural and Biological Sciences | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 2 | 6% |
Unknown | 15 | 45% |