Modeling the domestic distribution network for illicit drugs
ResearchPublished 1998
This paper presents a simple economic model of a drug dealer's decision about how many customers to supply. The model relates the number of customers (i.e., the branching factor of the distribution network) to a quantity discount factor describing the extent to which prices are marked up from one distribution level to the next and the ratio of selling costs to product costs. Solving the model allows one to infer characteristics of the domestic distribution network from more readily observable characteristics of the markets and, thereby, to gain insight into how drug control interventions might work.
Topics
Document Details
- Copyright: RAND Corporation
- Availability: Web Only
- Year: 1998
- Pages: 8
- Document Number: RP-679
Originally published in: Management Science, v. 43, no. 10, October 1997, pp. 1364-1371.
This publication is part of the RAND reprint series. The reprint series, a product of RAND from 1992 to 2011, included previously published journal articles, book chapters, and reports that were reproduced by RAND with the permission of the publisher. RAND reprints were formally reviewed in accordance with the publisher's editorial policy and compliant with RAND's rigorous quality assurance standards for quality and objectivity. For select current RAND journal articles, see external publications.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.