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Resource-Constrained Optimal Control Models for Crackdown on Illicit Drug Markets

Title: Resource-Constrained Optimal Control Models for Crackdown on Illicit Drug Markets
Authors: A. Baveja; G. Feichtinger; R. F. Hartl; J. L. Haunschmied; P. M. Kort; Jel-codes C; A. Baveja G. Feichtinger
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://prolog.univie.ac.at/research/publications/downloads/Bav_2000_48.pdf.
Publication Year: 2000
Collection: CiteSeerX
Subject Terms: crackdown enforcement; illicit drug markets; optimal control
Description: In this paper we present a budget-constrained optimal control model aimed at finding the optimal enforcement profile for a street-level, illicit drug crackdown operation. The objective is defined as minimizing the number of dealers dealing at the end of the crackdown operation, using this as a surrogate measure of residual criminal activity. Analytical results show that optimal enforcement policy will invariably use the budget resources completely. Numerical analysis using realistic estimates of parameters shows that crackdowns normally lead to significant results within a matter of a week, and if they do not, it is likely that they will be offering very limited success even if pursued for a much longer duration. We also show that a ramp-up enforcement policy will be most effective in collapsing a drug market if the drug dealers are risk-seeking, and the policy of using maximum enforcement as early as possible is usually optimal in the case when the dealers are risk averse or risk neutral. The work then goes on to argue that the underlying model has some general characteristics that are both reasonable and intuitive, allowing possible applications in
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.7125; http://prolog.univie.ac.at/research/publications/downloads/Bav_2000_48.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.7125; http://prolog.univie.ac.at/research/publications/downloads/Bav_2000_48.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.B3770390
Database: BASE