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Illicit drug use among arrestees, prices and policy

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  • Dave, Dhaval

Abstract

Prior studies, by relying on nationally representative surveys, have overlooked the important fact that use of addictive substances is not uniformly distributed; subgroups of hardcore users account for most of the drug consumption. This study employs the Arrestee Drug Abuse Monitoring system to analyze the demand for cocaine and heroin by urban arrestees, employing objective indicators of use based on urinalysis. The data are repeated city cross sections, and panel data methodology is employed to account for endogeneity. Cocaine and heroin prices have a negative effect on the probability of use even among this group of heavy users. Results indicate that subjective, self-reported measures of participation are likely to be under-reported, which may impart bias to estimates of the price elasticity. The own-price cocaine participation elasticity is about -0.15, and the own-price heroin participation elasticity is about -0.10 for arrestees. This contemporaneous elasticity understates the full effect, and the long-run price elasticity is about twice the magnitude. The magnitude of the price response is substantially smaller relative to the estimates in the prior literature, and calculations suggest that further enforcement and interdiction-driven increases in drug prices may not be cost-effective.

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  • Dave, Dhaval, 2008. "Illicit drug use among arrestees, prices and policy," Journal of Urban Economics, Elsevier, vol. 63(2), pages 694-714, March.
  • Handle: RePEc:eee:juecon:v:63:y:2008:i:2:p:694-714
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    References listed on IDEAS

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    Cited by:

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    2. Lim, King Yoong & Morris, Diego, 2020. "The economics of the illicit drugs-for-guns trade and growth," Economic Modelling, Elsevier, vol. 91(C), pages 218-232.
    3. Manolis Galenianos & Alessandro Gavazza, 2014. "A Quantitative Analysis of the Retail Market for Illicit Drugs," STICERD - Economics of Industry Papers 53, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. 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.
    5. Dhaval Dave & Swati Mukerjee, 2011. "Mental health parity legislation, cost‐sharing and substance‐abuse treatment admissions," Health Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183, February.
    6. 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.
    7. Scott Cunningham & Keith Finlay, 2016. "Identifying Demand Responses to Illegal Drug Supply Interdictions," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1268-1290, October.
    8. Manolis Galenianos & Alessandro Gavazza, 2017. "A Structural Model of the Retail Market for Illicit Drugs," American Economic Review, American Economic Association, vol. 107(3), pages 858-896, March.
    9. Lennon, Conor & Shohfi, Tom, 2021. "Unbridled spirit: Illicit markets for bourbon whiskey," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1025-1045.
    10. Li, Xiaoxue & Ye, Jinqi, 2017. "The spillover effects of health insurance benefit mandates on public insurance coverage: Evidence from veterans," Journal of Health Economics, Elsevier, vol. 55(C), pages 45-60.
    11. O'Flaherty, Brendan & Sethi, Rajiv, 2010. "The racial geography of street vice," Journal of Urban Economics, Elsevier, vol. 67(3), pages 270-286, May.
    12. Caulkins, Jonathan P. & Baker, David, 2010. "Cobweb dynamics and price dispersion in illicit drug markets," Socio-Economic Planning Sciences, Elsevier, vol. 44(4), pages 220-230, December.
    13. Kelly, Inas R. & Doytch, Nadia & Dave, Dhaval, 2019. "How does body mass index affect economic growth? A comparative analysis of countries by levels of economic development," Economics & Human Biology, Elsevier, vol. 34(C), pages 58-73.

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