Advanced Search
MyIDEAS: Login

An empirical model of learning and patient spillovers in new drug entry

Contents:

Author Info

  • Coscelli, Andrea
  • Shum, Matthew

Abstract

No abstract is available for this item.

Download Info

If 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.
File URL: http://www.sciencedirect.com/science/article/B6VC0-4B956MJ-1/2/c851d1a916c65546481ee09056f8fe63
Download Restriction: Full text for ScienceDirect subscribers only

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 Info

Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 122 (2004)
Issue (Month): 2 (October)
Pages: 213-246

as in new window
Handle: RePEc:eee:econom:v:122:y:2004:i:2:p:213-246

Contact details of provider:
Web page: http://www.elsevier.com/locate/jeconom

Related research

Keywords:

References

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.:
as in new window
  1. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
  2. Pierre Azoulay, 2002. "Do Pharmaceutical Sales Respond to Scientific Evidence?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 11(4), pages 551-594, December.
  3. Glen L. Urban & Theresa Carter & Steven Gaskin & Zofia Mucha, 1986. "Market Share Rewards to Pioneering Brands: An Empirical Analysis and Strategic Implications," Management Science, INFORMS, vol. 32(6), pages 645-659, June.
  4. Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-57, September.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Amitabh Chandra & David Malenka & Jonathan Skinner, 2013. "The Diffusion of New Medical Technology: The Case of Drug-Eluting Stents," NBER Chapters, in: Discoveries in the Economics of Aging National Bureau of Economic Research, Inc.
  2. Jonathan Skinner & Douglas Staiger, 2005. "Technology adoption from hybrid corn to beta blockers," Proceedings, Federal Reserve Bank of San Francisco.
  3. Morten Dalen Dag & Locatelli Marilena & Sorisio Enrico & Strom Steinar, 2012. "Does the Identity of the Third-Party Payer Matters for Prescribing Doctors?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201208, University of Turin.
  4. Dag Morten Dalen & Marilena Locatelli & Enrico Sorisio & Steinar Strøm, 2011. "A Probability Approach to Pharmaceutical Demand and Price Setting: Does the Identity of the Third-Party Payer Mattersfor Prescribing Doctors?," CESifo Working Paper Series 3643, CESifo Group Munich.
  5. Paola Zappa, 2011. "The network structure of knowledge sharing among physicians," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1109-1126, August.
  6. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
  7. Dalen, Dag Morten & Sorisio, Enrico & Strøm, Steinar, 2009. "Choosing among Competing Blockbusters: Does the Identity of the Third-party Payer Matter for Prescribing Doctors?," Memorandum 10/2009, Oslo University, Department of Economics.
  8. Puneet Manchanda & Dick Wittink & Andrew Ching & Paris Cleanthous & Min Ding & Xiaojing Dong & Peter Leeflang & Sanjog Misra & Natalie Mizik & Sridhar Narayanan & Thomas Steenburgh & Jaap Wieringa & M, 2005. "Understanding Firm, Physician and Consumer Choice Behavior in the Pharmaceutical Industry," Marketing Letters, Springer, vol. 16(3), pages 293-308, December.
  9. Ching, Andrew, 2008. "Consumer Learning and Heterogeneity: Dynamics of Demand for Prescription Drugs after Patent Expiration," MPRA Paper 7265, University Library of Munich, Germany.
  10. Hosken, Daniel & Wendling, Brett, 2013. "Informing the uninformed: How drug advertising affects check-up visits," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 181-194.
  11. Pradeep Chintagunta & Renna Jiang & Ginger Jin, 2009. "Information, learning, and drug diffusion: The case of Cox-2 inhibitors," Quantitative Marketing and Economics, Springer, vol. 7(4), pages 399-443, December.
  12. Anna A. Levine Taub & Anton Kolotilin & Robert S. Gibbons & Ernst R. Berndt, 2011. "The Diversity of Concentrated Prescribing Behavior: An Application to Antipsychotics," NBER Working Papers 16823, National Bureau of Economic Research, Inc.
  13. Steven Callander, 2011. "Searching and Learning by Trial and Error," American Economic Review, American Economic Association, vol. 101(6), pages 2277-2308, October.
  14. Andrew Ching & Masakazu Ishihara, 2010. "The effects of detailing on prescribing decisions under quality uncertainty," Quantitative Marketing and Economics, Springer, vol. 8(2), pages 123-165, June.
  15. Pradeep Chintadunta & Renna Jiang & Ginger Z. Jin, 2008. "Information, Learning, and Drug Diffusion: the Case of Cox-2 Inhibitors," NBER Working Papers 14252, National Bureau of Economic Research, Inc.
  16. Hostenkamp, Gisela, 2013. "Do follow-on therapeutic substitutes induce price competition between hospital medicines? Evidence from the Danish hospital sector," Health Policy, Elsevier, vol. 111(1), pages 68-77.
  17. Sood, A. & Stremersch, S., 2010. "Deviation Among Technology Reviews: An Informative Enrichment of Technology Evolution Theory for Marketing," ERIM Report Series Research in Management ERS-2010-005-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:eee:econom:v:122:y:2004:i:2:p:213-246. 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: (Zhang, Lei).

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.