Quantifying the Zero-Price Effect in the Field: Evidence from Swedish Prescription Drug Choices

27 Pages Posted: 3 Jun 2019 Last revised: 9 Dec 2021

See all articles by Andrew T. Ching

Andrew T. Ching

Johns Hopkins University - Carey Business School

David Granlund

Umeå University

David Sundström

University of Umea

Date Written: December 18, 2019

Abstract

We use Swedish data on consumer choices of therapeutically equivalent drugs to measure the zero-price effect. The Swedish benefit scheme for prescription drugs is a tier system where each patient’s copay share is a step function of his/her qualified accumulated expenditure, and can ultimately drop to zero. The copay tier a patient faces is exogenously determined by his/her health and drug need. In any given month, a patient pays the copay share of the lowest priced drug plus the price difference between the chosen drug and the lowest priced drug in the same therapeutically equivalent exchange group. Hence, when consumers cross the threshold and enter the zero copay tier, the net price for the lowest priced drug will switch from a small positive amount to zero. This unique quasi-random environment allows us to apply the regression discontinuity design to quantify the zero-price effect. We do so for the full sample, as well as for two subsamples that should be less affected by state dependence. Based on a linear (quadratic) specification, the estimated zero-price effect reduces choice shares of non-cheapest alternatives by 12% (13%), 39% (48%), and 23% (25%) in the full sample, new diagnoses sample, and switchers sample, respectively.

Keywords: Zero-price effect; free; behavioral pricing; pharmaceuticals; prescription drugs; generic drugs

JEL Classification: D12; D90; I11; I13; M31

Suggested Citation

Ching, Andrew T. and Granlund, David and Sundström, David, Quantifying the Zero-Price Effect in the Field: Evidence from Swedish Prescription Drug Choices (December 18, 2019). Johns Hopkins Carey Business School Research Paper No. 21-10, Available at SSRN: https://ssrn.com/abstract=3386685 or http://dx.doi.org/10.2139/ssrn.3386685

Andrew T. Ching (Contact Author)

Johns Hopkins University - Carey Business School ( email )

100 International Drive
Baltimore, MD 21202
United States

David Granlund

Umeå University ( email )

Samhallsvetarhuset, Plan 2
Umea University
Umeå, SE 901 87
Sweden

David Sundström

University of Umea ( email )

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