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Are methamphetamine precursor control laws effective tools to fight the methamphetamine epidemic?

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  • James Nonnemaker
  • Mark Engelen
  • Daniel Shive

Abstract

One of the most notable trends in illegal substance use among Americans over the past decade is the dramatic growth and spread of methamphetamine use. In response to the dramatic rise in methamphetamine use and its associated burden, a broad range of legislations has been passed to combat the problem. In this paper, we assess the impact of retail‐level laws intended to restrict chemicals used to manufacture methamphetamine (methamphetamine precursor laws) in reducing indicators of domestic production, methamphetamine availability, and the consequences of methamphetamine use. Specifically, we examine trends in these indicators of methamphetamine supply and use over a period spanning the implementation of the federal Methamphetamine Anti‐Proliferation Act (MAPA) (October 2000) and a more stringent state‐level restriction enacted in California (January 2000). The results are mixed in terms of the effectiveness of legislative efforts to control methamphetamine production and use, depending on the strength of the legislation (California Uniform Controlled Substances Act versus federal MAPA), the specification of the comparison group, and the particular outcome of interest. Some evidence suggests that domestic production was impacted by these legislative efforts, but there is also evidence that prices fell, purities rose, and treatment episodes increased. Copyright © 2010 John Wiley & Sons, Ltd.

Suggested Citation

  • James Nonnemaker & Mark Engelen & Daniel Shive, 2011. "Are methamphetamine precursor control laws effective tools to fight the methamphetamine epidemic?," Health Economics, John Wiley & Sons, Ltd., vol. 20(5), pages 519-531, May.
  • Handle: RePEc:wly:hlthec:v:20:y:2011:i:5:p:519-531
    DOI: 10.1002/hec.1610
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    References listed on IDEAS

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    1. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2007. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program," NBER Technical Working Papers 0335, National Bureau of Economic Research, Inc.
    2. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
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    1. Hugo M. Mialon & Erik T. Nesson & Michael C. Samuel, 2016. "Crystal Clear? The Relationship Between Methamphetamine Use and Sexually Transmitted Infections," Health Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 292-313, March.
    2. Andre Gbato & Falapalaki Lemou & Jean-François Brun, 2021. "Effectiveness of SARA reform in sub-Saharan Africa [Efficacité de la réforme des SARA en Afrique subsaharienne]," Working Papers hal-03119001, HAL.
    3. David Powell, 2016. "Synthetic Control Estimation Beyond Case Studies Does the Minimum Wage Reduce Employment?," Working Papers WR-1142, RAND Corporation.
    4. D. Mark Anderson & Benjamin Hansen & Daniel I. Rees, 2015. "Medical Marijuana Laws and Teen Marijuana Use," American Law and Economics Review, American Law and Economics Association, vol. 17(2), pages 495-528.
    5. Bauhoff, Sebastian, 2014. "The effect of school district nutrition policies on dietary intake and overweight: A synthetic control approach," Economics & Human Biology, Elsevier, vol. 12(C), pages 45-55.
    6. 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.
    7. John J. Donohue & Abhay Aneja & Kyle D. Weber, 2019. "Right‐to‐Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and a State‐Level Synthetic Control Analysis," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(2), pages 198-247, June.
    8. Freylejer, Leandro & Orr, Scott, 2023. "Import substitution in illicit methamphetamine markets," Journal of International Economics, Elsevier, vol. 140(C).
    9. Anderson, D. Mark & Rees, Daniel I., 2015. "Per se drugged driving laws and traffic fatalities," International Review of Law and Economics, Elsevier, vol. 42(C), pages 122-134.
    10. Damien Bricard & Zeynep Or & Anne Penneau, 2018. "Méthodologie de l’évaluation d’impact de l’expérimentation Parcours santé des aînés (Paerpa)," Working Papers DT74, IRDES institut for research and information in health economics, revised Jun 2018.

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