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Can Price Get The Monkey Off Our Back? A Meta‐Analysis Of Illicit Drug Demand

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  • Craig A. Gallet

Abstract

Because of the increased availability of price data over the past 15 years, several studies have estimated the demand for illicit drugs, providing 462 estimates of the price elasticity. Results from estimating several meta‐regressions reveal that these price elasticity estimates are influenced by a number of study characteristics. For instance, the price elasticity differs across drugs, with its absolute value being smallest for marijuana, compared with cocaine and heroin. Furthermore, price elasticity estimates are sensitive to whether demand is modeled in the short‐run or the long‐run, measures of quantity and price, whether or not alcohol and other illicit drugs are included in the specification of demand, and the location of demand. However, a number of other factors, including the functional form of demand, several specification issues, the type of data and method used to estimate demand, and the quality of the publication outlet, have less influence on the price elasticity. Copyright © 2013 John Wiley & Sons, Ltd.

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  • Craig A. Gallet, 2014. "Can Price Get The Monkey Off Our Back? A Meta‐Analysis Of Illicit Drug Demand," Health Economics, John Wiley & Sons, Ltd., vol. 23(1), pages 55-68, January.
    • Handle: RePEc:wly:hlthec:v:23:y:2014:i:1:p:55-68
    DOI: 10.1002/hec.2902
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    2. Adam J. Davis & Karl R. Geisler & Mark W. Nichols, 2016. "The price elasticity of marijuana demand: evidence from crowd-sourced transaction data," Empirical Economics, Springer, vol. 50(4), pages 1171-1192, June.
    3. Olmstead, Todd A. & Alessi, Sheila M. & Kline, Brendan & Pacula, Rosalie Liccardo & Petry, Nancy M., 2015. "The price elasticity of demand for heroin: Matched longitudinal and experimental evidence," Journal of Health Economics, Elsevier, vol. 41(C), pages 59-71.
    4. Bahamazava, Katsiaryna & Marchese, Carla & Privileggi, Fabio, 2023. "A Cournot equilibrium between Dark Net Market and Street market," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202302, University of Turin.
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