Structural Models of the Prescription Drug Market

Published in Foundations and Trends® in Marketing, vol.13(1), pp.1-76, 2019. DOI: 10.1561/1700000050.

Johns Hopkins Carey Business School Research Paper No. 19-01

76 Pages Posted: 1 Apr 2019 Last revised: 10 Apr 2020

See all articles by Andrew T. Ching

Andrew T. Ching

Johns Hopkins University - Carey Business School

Manuel Hermosilla

Johns Hopkins University - Carey Business School; University of Illinois at Chicago - College of Business Administration

Qiang Liu

Mitchell E. Daniels, Jr School of Business, Purdue University

Date Written: December 18, 2019

Abstract

Structural models have become a frontier tool in business and economics research. In this survey, we discuss the literature on structural models for the prescription drug market, which has attracted a significant attention from researchers in marketing and economics, and related fields. The literature has evolved from adopting standard structural models developed for other markets to models that are specifically designed to capture the nuance of drug prescription behaviour. Along the way, these empirical frameworks have not only greatly improved in explaining stylized facts, but also at producing better (more reasonable) counterfactual predictions. Topics covered by this survey include the application of learning models to explain slow diffusion, post-patent expiry competition, pre-patent expiry competition, R&D and new drug introduction, managerial and public policy analysis, and the economics of the Medicare Part-D program. We conclude by discussing future research directions.

Keywords: Structural Models, Pharmaceutical Industry, Prescription Drugs, Detailing, Direct-to-consumer Advertising, Clinical Trials, Publicity

JEL Classification: C25, C35, I11, L13, M31, M37, M38

Suggested Citation

Ching, Andrew T. and Hermosilla, Manuel and Liu, Qiang, Structural Models of the Prescription Drug Market (December 18, 2019). Published in Foundations and Trends® in Marketing, vol.13(1), pp.1-76, 2019. DOI: 10.1561/1700000050., Johns Hopkins Carey Business School Research Paper No. 19-01, Available at SSRN: https://ssrn.com/abstract=3348196 or http://dx.doi.org/10.2139/ssrn.3348196

Andrew T. Ching (Contact Author)

Johns Hopkins University - Carey Business School ( email )

100 International Drive
Baltimore, MD 21202
United States

Manuel Hermosilla

Johns Hopkins University - Carey Business School ( email )

100 International Drive
Baltimore, MD 21202
United States

University of Illinois at Chicago - College of Business Administration ( email )

601 South Morgan Street
11th Floor
Chicago, IL 60607
United States

Qiang Liu

Mitchell E. Daniels, Jr School of Business, Purdue University ( email )

403 Mitch Daniels Blvd.
West Lafayette, IN 47907
United States

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