| NCJ Number: |
153754  |
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| Title: |
Simulation of Adaptive Response: A Model of Drug Interdiction |
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| Author(s): |
J P Caulkins; G Crawford; P Reuter |
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| Date Published: |
1993 |
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| Page Count: |
16 |
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| Sponsoring Agency: |
Rand Corporation
Santa Monica, CA 90407-2138 |
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| Publication Number: |
RP-193 |
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| Sale Source: |
Rand Corporation
1776 Main Street
P.O. Box 2138
Santa Monica, CA 90407-2138
United States of America |
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| Type: |
Research (Theoretical) |
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| Language: |
English |
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| Country: |
United States of America |
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| Annotation: |
This paper presents a Monte Carlo simulation of the smuggling and interdiction of illicit drugs, known as the Simulation of Adaptive Response (SOAR) model, that explicitly allows for adaptation across routes and modes. |
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| Abstract: |
The SOAR model is used to examine several issues surrounding the interdiction of cocaine shipments into the United States. The model suggests that back-of-the-envelope estimates of drug interdiction's effectiveness may be overly optimistic if they neglect the existence of a backstop technology (smuggling small shipments over land), the concavity of smuggler costs as a function of the fraction of all routes on which the interdiction rate is increased, and the fact that not all smuggling costs are caused by interdiction. Considering these factors, it appears that one would expect increasing interdiction to have a substantial impact on U.S. cocaine consumption only under truly exceptional circumstances. The authors conclude that SOAR represents an initial effort to systematically analyze how drug interdiction can raise smuggler costs and lower drug consumption. 14 references, 4 tables, and 6 figures |
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| Main Term(s): |
Drug smuggling |
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| Index Term(s): |
Cocaine; Cost analysis; Drug law enforcement; Drug regulation; Economic analysis of crime; Mathematical modeling |
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| Note: |
DCC. Rand Reprints: Reprinted from Mathematical and Computer Modeling, V 17, N 2 (1993), p 37-52. |
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To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=153754 |
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