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ECIN Replication Package for "A closer look at Doleac and Mukherjee (2022) and the effects of naloxone access laws on opioid ER admissions"
Principal Investigator(s): View help for Principal Investigator(s) Sergey Alexeev
Version: View help for Version V2
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application/x-stata-dta | 18.7 MB | 11/15/2024 05:35:PM |
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application/pdf | 130.5 KB | 11/19/2024 11:07:AM |
Project Citation:
Alexeev, Sergey. ECIN Replication Package for “A closer look at Doleac and Mukherjee (2022) and the effects of naloxone access laws on opioid ER admissions.” Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-11-19. https://doi.org/10.3886/E211161V2
Project Description
Summary:
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The replication materials provided here are associated with the study with the following abstract:
Doleac and Mukherjee (2022) conclude that broadening access to a life-saving drug – naloxone – does not reduce opioid-related mortality as the drug simultaneously encourages riskier drug use. I show issues with their data, design, and estimation methods. For example, their Google Search data has an unverifiable origin, the law timing is incorrect, and the statistical inference is invalid. Correcting these issues within a triple difference design shows that naloxone, contrary to their findings, does not increase ER opioid admissions. I conclude that the moral hazard (and the ensuing adverse consequences) of naloxone use lacks empirical support.
Doleac and Mukherjee (2022) conclude that broadening access to a life-saving drug – naloxone – does not reduce opioid-related mortality as the drug simultaneously encourages riskier drug use. I show issues with their data, design, and estimation methods. For example, their Google Search data has an unverifiable origin, the law timing is incorrect, and the statistical inference is invalid. Correcting these issues within a triple difference design shows that naloxone, contrary to their findings, does not increase ER opioid admissions. I conclude that the moral hazard (and the ensuing adverse consequences) of naloxone use lacks empirical support.
Scope of Project
Subject Terms:
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Naloxone;
Public health;
Opioids;
Moral hazard;
Replication
JEL Classification:
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C31 Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
H51 National Government Expenditures and Health
I12 Health Behavior
I18 Health: Government Policy; Regulation; Public Health
K32 Energy, Environmental, Health, and Safety Law
C31 Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
H51 National Government Expenditures and Health
I12 Health Behavior
I18 Health: Government Policy; Regulation; Public Health
K32 Energy, Environmental, Health, and Safety Law
Manuscript Number:
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ECIN-Jan-2024-0045.R1
Geographic Coverage:
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United States
Time Period(s):
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2005 – 2018
Methodology
Data Source:
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- Healthcare Cost and Utilization Project (HCUP). 2024a. “Quarterly and Annual Rates for Opioid-Related Hospital Use.” Link
- Healthcare Cost and Utilization Project (HCUP). 2024b. “State Trends in Emergency Department Visits by Payer.” Link
- Doleac, Jennifer L., and Anita Mukherjee. 2022. “The Effects of Naloxone Access Laws on Opioid Abuse, Mortality, and Crime.” The Journal of Law and Economics 65 (2): 211–238. Supplementary data: Link
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