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Optimal enforcement policies (crackdowns) on an illicit drug market

โœ Scribed by Peter M. Kort; Gustav Feichtinger; Richard F. Hartl; Josef L. Haunschmied


Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
138 KB
Volume
19
Category
Article
ISSN
0143-2087

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โœฆ Synopsis


In this paper an optimal control model is presented to design enforcement programs minimizing the social costs from both the market and crackdown. The model is built around a dynamic equation proposed by Caulkins in which the development of the number of dealers in a particular illicit drug market depends on market sales and police enforcement. By using the maximum principle we show that, due to the positive feedback effect hypothesized by Kleiman, performing an enforcement policy that leads to a collapse of the drug market is more likely to be optimal when the sales volume depends on the number of dealers. In case of a buyers' market, which means that the total of sales completely depends on the number of buyers, the optimal enforcement policy leads to a saddle-point equilibrium where the enforcement rate is fixed such that the number of dealers is kept constant at a positive level.


๐Ÿ“œ SIMILAR VOLUMES


A Resource-Constrained Optimal Control M
โœ A. Baveja; G. Feichtinger; R.F. Hartl; J.L. Haunschmied; P.M. Kort ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 165 KB

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 surro