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Replication data for: A Structural Model of the Retail Market for Illicit Drugs

Version
2
Resource Type
Dataset
Creator
  • Galenianos, Manolis
  • Gavazza, Alessandro
Publication Date
2020-06-05
Description
  • Abstract

    We estimate a model of illicit drugs markets using data on purchases of crack cocaine. Buyers are searching for high-quality drugs, but they determine drugs' quality (i.e., their purity) only after consuming them. Hence, sellers can rip off first-time buyers or can offer higher-quality drugs to induce buyers to purchase from them again. In equilibrium, a distribution of qualities persists. The estimated model implies that if drugs were legalized, in which case purity could be regulated and hence observable, the average purity of drugs would increase by approximately 20 percent and the dispersion would decrease by approximately 80 percent. Moreover, increasing penalties may raise the purity and affordability of the drugs traded by increasing sellers' relative profitability of targeting loyal buyers versus first-time buyers.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.20150540 (Text)
Publications
  • Galenianos, Manolis, and Alessandro Gavazza. “A Structural Model of the Retail Market for Illicit Drugs.” American Economic Review 107, no. 3 (March 2017): 858–96. https://doi.org/10.1257/aer.20150540.
    • ID: 10.1257/aer.20150540 (DOI)

Update Metadata: 2020-06-05 | Issue Number: 1 | Registration Date: 2020-06-05

Galenianos, Manolis; Gavazza, Alessandro (2020): Replication data for: A Structural Model of the Retail Market for Illicit Drugs. Version: 2. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113059V2