Prescription Drug Monitoring Programs, Opioid Abuse, and Crime

Working Paper: NBER ID: w24975

Authors: Dhaval Dave; Monica Deza; Brady P. Horn

Abstract: We study the spillover effects of prescription drug monitoring programs (PDMPs) on crime, and in the process inform how policies that restrict access to Rx opioids per se within the healthcare system would impact broader non-health domains. In response to the substantial increase in opioid use and misuse in the United States, PDMPs have been implemented in virtually all states to collect, monitor, and analyze prescription opioid data with the goal of preventing misuse and the diversion of controlled substances. Using information on offenses known to law enforcement and arrests from the Uniform Crime Reports (UCR), combined with a difference-in-differences empirical strategy, we find that PDMPs reduced overall crime by 5%. These reductions in crime are associated with both violent and property crimes. This decrease in crime is also reflected by a decrease in crime-related arrests as well as drug-related arrests. Overall, these results provide additional evidence that PDMPs are an effective social policy tool to mitigate some of the negative consequences of opioid misuse, and more broadly indicate that opioid policies can have important spillover effects into other non-health related domains such as crime.

Keywords: Prescription Drug Monitoring Programs; Opioid Abuse; Crime

JEL Codes: H0; I1; K0


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
PDMP implementation (C59)reduction in overall crime (K42)
PDMP implementation (C59)reduction in violent crime (K42)
PDMP implementation (C59)reduction in property crime (K42)
PDMP implementation (C59)decrease in crime-related arrests (K42)
PDMP implementation (C59)decrease in drug-related arrests (K42)
PDMPs (Y10)spillover effects into crime (K42)

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