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Modeling the response of illicit drug markets to local enforcement

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  • Baveja, Alok
  • Batta, Rajan
  • Caulkins, Jonathan P.
  • Karwan, Mark H.

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  • Baveja, Alok & Batta, Rajan & Caulkins, Jonathan P. & Karwan, Mark H., 1993. "Modeling the response of illicit drug markets to local enforcement," Socio-Economic Planning Sciences, Elsevier, vol. 27(2), pages 73-89, June.
    • Handle: RePEc:eee:soceps:v:27:y:1993:i:2:p:73-89
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    Cited by:

    1. Baveja, A. & Feichtinger, G. & Hartl, R.F. & Haunschmied, J.L. & Kort, P.M., 1999. "A Resource-Constrained Optimal Control Model for Crackdown on Illicit Drug Markets," Other publications TiSEM 8648e4a1-5cc5-4167-8aad-9, Tilburg University, School of Economics and Management.
    2. Caulkins, Jonathan P. & Feichtinger, Gustav & Tragler, Gernot & Wallner, Dagmar, 2010. "When in a drug epidemic should the policy objective switch from use reduction to harm reduction?," European Journal of Operational Research, Elsevier, vol. 201(1), pages 308-318, February.
    3. Caulkins, Jonathan P. & Tragler, Gernot, 2004. "Dynamic drug policy: an introduction and overview," Socio-Economic Planning Sciences, Elsevier, vol. 38(1), pages 1-6, March.
    4. Kort, P.M. & Feichtinger, G. & Hartl, R.F. & Haunschmied, J.L., 1996. "Optimal Enforcement Policies (Crackdowns) on a Drug Market," Discussion Paper 1996-29, Tilburg University, Center for Economic Research.
    5. Ginoux, Jean-Marc & Naeck, Roomila & Ruhomally, Yusra Bibi & Dauhoo, Muhammad Zaid & Perc, Matjaž, 2019. "Chaos in a predator–prey-based mathematical model for illicit drug consumption," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 502-513.
    6. Wang, Shoou-Jiun & Batta, Rajan & Rump, Christopher M., 2005. "Stability of a crime level equilibrium," Socio-Economic Planning Sciences, Elsevier, vol. 39(3), pages 229-244, September.
    7. Feichtinger, Gustav & Grienauer, Waltraud & Tragler, Gernot, 2002. "Optimal dynamic law enforcement," European Journal of Operational Research, Elsevier, vol. 141(1), pages 58-69, August.
    8. Chi-Bin Cheng & Hsu-Shih Shih & Boris Chen, 2017. "Subsidy rate decisions for the printer recycling industry by bi-level optimization techniques," Operational Research, Springer, vol. 17(3), pages 901-919, October.
    9. Gragnani, A. & Rinaldi, S. & Feichtinger, G., 1997. "Dynamics of drug consumption: a theoretical model," Socio-Economic Planning Sciences, Elsevier, vol. 31(2), pages 127-137, June.
    10. Baveja, Alok & Caulkins, Jonathan P. & Liu, Wensheng & Batta, Rajan & Karwan, Mark H., 1997. "When haste makes sense: Cracking down on street markets for illicit drugs," Socio-Economic Planning Sciences, Elsevier, vol. 31(4), pages 293-306, December.
    11. V. Borisov & G. Feichtinger & A. Kryazhimskii, 2000. "Optimal Enforcement on a Pure Seller's Market of Illicit Drugs," Journal of Optimization Theory and Applications, Springer, vol. 106(1), pages 1-22, July.
    12. Naik, Ashich V. & Baveja, Alok & Batta, Rajan & Caulkins, Jonathan P., 1996. "Scheduling crackdowns on illicit drug markets," European Journal of Operational Research, Elsevier, vol. 88(2), pages 231-250, January.
    13. Redmond, Michael & Baveja, Alok, 2002. "A data-driven software tool for enabling cooperative information sharing among police departments," European Journal of Operational Research, Elsevier, vol. 141(3), pages 660-678, September.
    14. Leonardo Raffo López, 2015. "Law enforcement and drug trafficking networks: a simple model," Documentos de Trabajo 13014, Universidad del Valle, CIDSE.
    15. Pu Cai & Jin-yi Cai & Ashish V. Naik, 1998. "Efficient Algorithms for a Scheduling Problem and its Applications to Illicit Drug Market Crackdowns," Journal of Combinatorial Optimization, Springer, vol. 1(4), pages 367-376, December.
    16. Baveja, Alok & Jamil, Mamnoon & Kushary, Debashis, 2004. "A sequential model for cracking down on street markets for illicit drugs," Socio-Economic Planning Sciences, Elsevier, vol. 38(1), pages 7-41, March.
    17. Kaya, C. Yalcin, 2004. "Time-optimal switching control for the US cocaine epidemic," Socio-Economic Planning Sciences, Elsevier, vol. 38(1), pages 57-72, March.

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