Data and code for: "Does entry remedy collusion? Evidence from the generic prescription drug cartel"
Principal Investigator(s): View help for Principal Investigator(s) Amanda Starc, Northwestern University Kellogg School of Management; Thomas Wollmann, University of Chicago. Booth School of Business
Version: View help for Version V1
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Project Citation:
Starc, Amanda, and Wollmann, Thomas. Data and code for: “Does entry remedy collusion? Evidence from the generic prescription drug cartel.” Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-03-26. https://doi.org/10.3886/E200001V1
Project Description
Summary:
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This workspace contains data and code for the article "Does entry remedy collusion? Evidence from the generic prescription drug cartel." The article is summarized as follows.
Entry represents a fundamental threat to cartels. We study the extent and effect of this behavior in
the largest price-fixing case in US history, which involves generic drug manufacturing. We link
information on the cartel’s internal operations to regulatory filings and market data. There is a
substantial increase in entry after cartel formation but regulatory approvals delay most entrants by
2-4 years. We then estimate a structural model to simulate counterfactual equilibria. Absent entry,
cartel profits would be dramatically higher. Correspondingly, reducing regulatory delays by just 1-2
years equates to consumer compensating variation of $559 million-$1.3 billion.
Scope of Project
Subject Terms:
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collusion;
cartel;
entry;
pharmaceutical;
generic drugs
JEL Classification:
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L11 Production, Pricing, and Market Structure; Size Distribution of Firms
L41 Monopolization; Horizontal Anticompetitive Practices
L65 Chemicals; Rubber; Drugs; Biotechnology; Plastics
L11 Production, Pricing, and Market Structure; Size Distribution of Firms
L41 Monopolization; Horizontal Anticompetitive Practices
L65 Chemicals; Rubber; Drugs; Biotechnology; Plastics
Geographic Coverage:
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United States
Time Period(s):
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2008 – 2020
Data Type(s):
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event/transaction data;
observational data
Methodology
Data Source:
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Conn. et al v. Teva Pharm. USA, Inc. 2019. https://portal.ct.gov/-/media/AG/Press_Releases/2019/FINAL-UNREDACTED-Teva-Complaint-for-CT-District....
Feldman, Robin, Evan Frondorf, Andrew Cordova, and Connie Wang. 2016. “Database from Empirical Evidence of Drug Pricing Games - A Citizen’s Pathway Gone Astray [Online data file].” https://ssrn.com/abstract=2924673.
IQVIA. 2022. “National Prescription Audit and IQVIA Institute Services [Data file].” https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm.
Centers for Medicare & Medicaid. 2022a. “State Drug Utilization Data [Online data file].” https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/index.html.
Centers for Medicare & Medicaid. 2022b. “National Average Drug Acquisition Cost [Online data file].” https://data.medicaid.gov/dataset/99315a95-37ac-4eee-946a-3c523b4c481eoverview.
Teva Pharmaceuticals Industries. 2011-2016. “Report 20-F.” https://ir.tevapharm.com/financials/sec-filings/default.aspx.
US Food & Drug Administration. 2022a. “Approved Drug Products with Therapeutic Equivalence Evaluations — Orange Book [Online data file].” https://www.fda.gov/drugs/drug-approvals-and-databases/approved-drug-products-therapeutic-equivalenc....
US Food & Drug Administration. 2022b. “Drugs @ FDA [Online data file].” https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm.
US Food & Drug Administration. 2022c. “First generic drug approvals [Online data file].” https://www.fda.gov/drugs/drug-and-biologic-approval-and-ind-activity-reports/first-generic-drug-app....
US Food & Drug Administration. 2022d. “National Drug Code Directory [Online data file].” https://www.fda.gov/drugs/drug-approvals-and-databases/national-drug-code-directory
Unit(s) of Observation:
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In the cross section, substance-delivery-release and substrance-delivery-release-strength. In the time series, quarter or year.
Geographic Unit:
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United States
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