Data and Code for: Drug Diffusion Through Peer Networks: The Influence of Industry Payments

Principal Investigator(s):  View help for Principal Investigator(s) Leila Agha, Dartmouth College; Dan Zeltzer, Tel Aviv University

Version:  View help for Version V1

Name File Type Size Last Modified
  AEJPol-2020-0044_Data_and_Code 07/08/2021 12:04:PM
LICENSE.txt text/plain 14.7 KB 05/24/2021 10:43:AM

Project Citation: 

Agha, Leila, and Zeltzer, Dan. Data and Code for: Drug Diffusion Through Peer Networks: The Influence of Industry Payments. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-04-21. https://doi.org/10.3886/E140841V1

Project Description

Summary:  View help for Summary Pharmaceutical companies market to physicians through individual detailing accompanied by monetary or in-kind transfers. Large compensation payments to a small number of physicians account for most of this promotional spending. Studying US promotional payments and prescriptions for anticoagulant drugs, we investigate how peer influence broadens the payments' reach. Following a compensation payment, prescriptions for the marketed drug increase by both the paid physician and the paid physician's peers. Payments increase prescriptions to both recommended and contraindicated patients. Over three years, marketed anticoagulant prescriptions rose 23 percent due to payments, with peer spillovers contributing a quarter of the increase.
Funding Sources:  View help for Funding Sources NIH (PO1 AG19783); Foerder Institute for Economic Research

Scope of Project

Subject Terms:  View help for Subject Terms Health insurance claims; Prescription drugs ; Physician marketing
JEL Classification:  View help for JEL Classification
      I11 Analysis of Health Care Markets
      L14 Transactional Relationships; Contracts and Reputation; Networks
      O33 Technological Change: Choices and Consequences; Diffusion Processes
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2013 – 2016
Collection Date(s):  View help for Collection Date(s) 2017 – 2018
Universe:  View help for Universe Primary care and cardiologist physicians who prescribe to Medicare Part D patients
Data Type(s):  View help for Data Type(s) event/transaction data; program source code

Methodology

Data Source:  View help for Data Source CMS (Center for Medicare & Medicaid Services) Physician Shared Patient Patterns
CMS Physician Compare Database
CMS Open Payments Databases
CMS 40% Research Identifiable Medicare Part D Claims, Master Beneficiary Summary File, and Chronic Conditions Segment (Restricted)
Dartmouth Atlas
US 2010 Census ZCTA5 Files
Unit(s) of Observation:  View help for Unit(s) of Observation physician X drug X quarter

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Published Versions

V1 [2022-04-21]

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