Data and Code for: Retail Pharmacies and Drug Diversion during the Opioid Epidemic
Principal Investigator(s): View help for Principal Investigator(s) Aljoscha Janssen, Singapore Management University and IFN; Xuan Zhang, Singapore Management University
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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Code | 10/26/2022 11:05:PM | ||
Data | 05/21/2022 01:54:AM | ||
Results | 05/21/2022 02:03:AM | ||
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application/pdf | 192.9 KB | 10/26/2022 07:05:PM |
Project Citation:
Janssen, Aljoscha, and Zhang, Xuan. Data and Code for: Retail Pharmacies and Drug Diversion during the Opioid Epidemic. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-12-07. https://doi.org/10.3886/E170881V1
Project Description
Summary:
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This study investigates the role of retail pharmacy ownership in the opioid epidemic. Using data of prescription opioid orders, we show that compared with chain pharmacies, independent pharmacies dispense 39.1% more opioids and 60.5% more OxyContin. After an independent pharmacy becomes a chain pharmacy, opioid dispensing decreases. Using the OxyContin reformulation, which reduced non-medical demand but not the legitimate medical demand, we show that at least a third of the difference in the amount of OxyContin dispensed can be attributed to non-medical demand. We show that differences in competitive pressure and whether pharmacists own the pharmacy drive our estimates.
Scope of Project
Subject Terms:
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Pharmacy;
prescription opioids;
drug diversion;
ownership
JEL Classification:
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I11 Analysis of Health Care Markets
I18 Health: Government Policy; Regulation; Public Health
L22 Firm Organization and Market Structure
I11 Analysis of Health Care Markets
I18 Health: Government Policy; Regulation; Public Health
L22 Firm Organization and Market Structure
Geographic Coverage:
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United States
Time Period(s):
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1/1/2006 – 12/31/2012
Universe:
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All opioid shipments to pharmacies
Data Type(s):
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observational data
Methodology
Unit(s) of Observation:
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Firm level
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