In search of a corrected prescription drug Elasticity estimate: a meta‐regression approach

B-Tier
Journal: Health Economics
Year: 2007
Volume: 16
Issue: 6
Pages: 627-643

Authors (3)

Marin C. Gemmill (London School of Economics (LS...) Joan Costa‐Font (not in RePEc) Alistair McGuire (not in RePEc)

Score contribution per author:

0.673 = (α=2.02 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

An understanding of the relationship between cost sharing and drug consumption depends on consistent and unbiased price elasticity estimates. However, there is wide heterogeneity among studies, which constrains the applicability of elasticity estimates for empirical purposes and policy simulation. This paper attempts to provide a corrected measure of the drug price elasticity by employing meta‐regression analysis (MRA). The results indicate that the elasticity estimates are significantly different from zero, and the corrected elasticity is −0.209 when the results are made robust to heteroskedasticity and clustering of observations. Elasticity values are higher when the study was published in an economic journal, when the study employed a greater number of observations, and when the study used aggregate data. Elasticity estimates are lower when the institutional setting was a tax‐based health insurance system. Copyright © 2007 John Wiley & Sons, Ltd.

Technical Details

RePEc Handle
repec:wly:hlthec:v:16:y:2007:i:6:p:627-643
Journal Field
Health
Author Count
3
Added to Database
2026-01-25