Uncertainty and risk: A framework for understanding pricing in online drug markets

Rasmus Munksgaard*, Meropi Tzanetakis

*Kontaktforfatter

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Abstrakt

Background: The pricing of illicit drugs is typically approached within the risks and prices framework. Recent sociological and economic studies of prices in online drug markets have stressed the centrality of reputation for price formation. In this paper, we propose an account of price formation that is based on the risks and prices framework, but also incorporates internal social organization to explain price variation. We assess the model empirically, and extend the current empirical literature by including payment methods and informal ranking as influences on drug pricing. Methods: We apply our model to estimate the prices of cannabis, cocaine, and heroin in two online drug markets, cryptomarkets (n = 92.246). Using multilevel linear regression, we assess the influence of product qualities, reputation, payment methods, and informal ranking on price formation. Results: We observe extensive quantity discounts varying across substances and countries, and find premia and discounts associated with product qualities. We find evidence of payment method price adjustment, but contrary to expectation we observe conflicting evidence concerning reputation and status. We assess the robustness of our findings concerning reputation by comparing our model to previous approaches and alternative specifications. Conclusion: We contribute to an emerging economic sociological approach to the study illicit markets by developing an account of price formation that incorporates cybercrime scholarship and the risks and prices framework. We find that prices in online drug markets reflect both external institutional constraint and internal social processes that reduce uncertainty.

OriginalsprogEngelsk
Artikelnummer103535
TidsskriftInternational Journal of Drug Policy
Vol/bind101
ISSN0955-3959
DOI
StatusUdgivet - mar. 2022

Bibliografisk note

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

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