Understanding Firm, Physician and Consumer Choice Behavior in the Pharmaceutical Industry
AbstractThis paper argues that the pharmaceutical industry represents an exciting opportunity to carry out academic research. The nature of the industry allows researchers to answer new questions, develop new methodologies for answering these questions as well as to apply existing methodology to new data. The paper opens with some industry background, then provides a brief overview of some important research areas and discusses the open questions in each area. Issues of data type and availability are also discussed. Copyright Springer Science + Business Media, Inc. 2005
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Springer in its journal Marketing Letters.
Volume (Year): 16 (2005)
Issue (Month): 3 (December)
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100312
pharmaceutical marketing; patient compliance; response models; new products; physician networks; pharmaceutical pricing;
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.:
- Minhi Hahn & Sehoon Park & Lakshman Krishnamurthi & Andris A. Zoltners, 1994. "Analysis of New Product Diffusion Using a Four-Segment Trial-Repeat Model," Marketing Science, INFORMS, vol. 13(3), pages 224-247.
- Ching, Andrew, 2008.
"Consumer Learning and Heterogeneity: Dynamics of Demand for Prescription Drugs after Patent Expiration,"
7265, University Library of Munich, Germany.
- Ching, Andrew T., 2010. "Consumer learning and heterogeneity: Dynamics of demand for prescription drugs after patent expiration," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 619-638, November.
- Desiraju, Ramarao & Nair, Harikesh S. & Chintagunta, Pradeep, 2004. "Diffusion of New Pharmaceutical Drugs in Developing and Developed Nations," Research Papers 1950, Stanford University, Graduate School of Business.
- Fincham, Jack E. & Wertheimer, Albert I., 1985. "Using the health belief model to predict initial drug therapy defaulting," Social Science & Medicine, Elsevier, vol. 20(1), pages 101-105, January.
- Stoneman, P, 1981. "Intra-Firm Diffusion, Bayesian Learning and Profitability," Economic Journal, Royal Economic Society, vol. 91(362), pages 375-88, June.
- J. Miguel Villas-Boas & Russell S. Winer, 1999. "Endogeneity in Brand Choice Models," Management Science, INFORMS, vol. 45(10), pages 1324-1338, October.
- Christoph H. Loch & Stylianos Kavadias, 2002. "Dynamic Portfolio Selection of NPD Programs Using Marginal Returns," Management Science, INFORMS, vol. 48(10), pages 1227-1241, October.
- Meredith B. Rosenthal & Ernst R. Berndt & Julie M. Donohue & Arnold M. Epstein & Richard G. Frank, 2003. "Demand Effects of Recent Changes in Prescription Drug Promotion," NBER Chapters, in: Frontiers in Health Policy Research, Volume 6, pages 1-26 National Bureau of Economic Research, Inc.
- Pradeep K. Chintagunta & Ramarao Desiraju, 2005. "Strategic Pricing and Detailing Behavior in International Markets," Marketing Science, INFORMS, vol. 24(1), pages 67-80, June.
- Coscelli, Andrea & Shum, Matthew, 2004. "An empirical model of learning and patient spillovers in new drug entry," Journal of Econometrics, Elsevier, vol. 122(2), pages 213-246, October.
- Rosenthal Meredith B. & Berndt Ernst R. & Donohue Julie M. & Epstein Arnold M. & Frank Richard G., 2003. "Demand Effects of Recent Changes in Prescription Drug Promotion," Forum for Health Economics & Policy, De Gruyter, vol. 6(1), pages 1-28, January.
- Ching, Andrew & Ishihara, Masakazu, 2007. "The Effects of Detailing on Prescribing Decisions under Two-Sided Learning," MPRA Paper 4935, University Library of Munich, Germany.
- Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, 07.
- Puneet Manchanda & Pradeep K. Chintagunta, 2004. "Responsiveness of Physician Prescription Behavior to Salesforce Effort: An Individual Level Analysis," Marketing Letters, Springer, vol. 15(2_3), pages 129-145, 07.
- Crié, Dominique & Chebat, Jean-Charles, 2013. "Health marketing: Toward an integrative perspective," Journal of Business Research, Elsevier, vol. 66(1), pages 123-126.
- Marc Fischer & Peter Leeflang & Peter Verhoef, 2010. "Drivers of peak sales for pharmaceutical brands," Quantitative Marketing and Economics, Springer, vol. 8(4), pages 429-460, December.
- Peter Leeflang & Jaap Wieringa, 2010. "Modeling the effects of pharmaceutical marketing," Marketing Letters, Springer, vol. 21(2), pages 121-133, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) 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.