In search of a corrected prescription drug Elasticity estimate: a meta-regression approach
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.
Volume (Year): 16 (2007)
Issue (Month): 6 ()
|Contact details of provider:|| Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- O'Brien, Bernie, 1989. "The effect of patient charges on the utilisation of prescription medicines," Journal of Health Economics, Elsevier, vol. 8(1), pages 109-132, March.
- T. D. Stanley & Stephen B. Jarrell, 2005.
"Meta-Regression Analysis: A Quantitative Method of Literature Surveys,"
Journal of Economic Surveys,
Wiley Blackwell, vol. 19(3), pages 299-308, 07.
- Stanley, T D & Jarrell, Stephen B, 1989. " Meta-Regression Analysis: A Quantitative Method of Literature Survey s," Journal of Economic Surveys, Wiley Blackwell, vol. 3(2), pages 161-170.
- Paul Grootendorst & Mitchell Levine, 2002.
"Do Drug Plans Matter? Effects of Drug Plan Eligibility on Drug Use Among the Elderly, Social Assistance Recipients and the General Population,"
Quantitative Studies in Economics and Population Research Reports
372, McMaster University.
- Paul V. Grootendorst & Mitchell Levine, 2002. "Do Drug Plans Matter? Effects of Drug Plan Eligibility on Drug Use Among the Elderly, Social Assistance Recipients and the General Population," Social and Economic Dimensions of an Aging Population Research Papers 73, McMaster University.
- Stephen Smith & Sheila Watson, 1990. "Modelling the effects of prescription charge rises," Fiscal Studies, Institute for Fiscal Studies, vol. 11(1), pages 75-91, February.
- Leibowitz, Arleen & Manning, Willard G. & Newhouse, Joseph P., 1985. "The demand for prescription drugs as a function of cost-sharing," Social Science & Medicine, Elsevier, vol. 21(10), pages 1063-1069, January.
When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:16:y:2007:i:6:p:627-643. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)or (Christopher F. Baum)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.