Offering Pharmaceutical Samples: The Role of Physician Learning and Patient Payment Ability
Author
Abstract
Suggested Citation
DOI: 10.1287/mksc.1120.0743
Download full text from publisher
References listed on IDEAS
- Kissan Joseph & Murali Mantrala, 2009. "A model of the role of free drug samples in physicians’ prescription decisions," Marketing Letters, Springer, vol. 20(1), pages 15-29, March.
- Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, July.
- Cutrona, S.L. & Woolhandler, S. & Lasser, K.E. & Bor, D.H. & McCormick, D. & Himmelstein, D.U., 2008. "Characteristics of recipients of free prescription drug samples: A nationally representative analysis," American Journal of Public Health, American Public Health Association, vol. 98(2), pages 284-289.
- Natalie Mizik & Robert Jacobson, 2004. "Are Physicians ÜEasy MarksÝ? Quantifying the Effects of Detailing and Sampling on New Prescriptions," Management Science, INFORMS, vol. 50(12), pages 1704-1715, December.
- 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.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ram Bala & Sumit Kunnumkal & Milind G. Sohoni, 2016. "Evergreening and operational risk under price competition," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(1), pages 71-89, February.
- Sadat Reza & Hillbun Ho & Rich Ling & Hongyan Shi, 2021. "Experience Effect in the Impact of Free Trial Promotions," Management Science, INFORMS, vol. 67(3), pages 1648-1669, March.
- Zhou, Cuihua & Hao, Yifei & Lan, Yanfei & Li, Weifeng, 2023. "To introduce or not? Strategic analysis of hospital operations with telemedicine," European Journal of Operational Research, Elsevier, vol. 304(1), pages 292-307.
- Ram Bala & Pradeep Bhardwaj & Pradeep K. Chintagunta, 2017. "Pharmaceutical Product Recalls: Category Effects and Competitor Response," Marketing Science, INFORMS, vol. 36(6), pages 931-943, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Kissan Joseph & Murali Mantrala, 2009. "A model of the role of free drug samples in physicians’ prescription decisions," Marketing Letters, Springer, vol. 20(1), pages 15-29, March.
- Andrew J. Epstein & Jonathan D. Ketcham, 2014. "Information technology and agency in physicians' prescribing decisions," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 422-448, June.
- 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.
- Zhu, Z.;, 2023. "The Value of Patients: Heterogenous Physician Learning and Generic Drug Diffusion," Health, Econometrics and Data Group (HEDG) Working Papers 23/12, HEDG, c/o Department of Economics, University of York.
- Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017.
"Assessing the Energy-Efficiency Gap,"
Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
- Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2015. "Assessing the Energy-Efficiency Gap," NBER Working Papers 20904, National Bureau of Economic Research, Inc.
- Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2015. "Assessing the Energy-Efficiency Gap," Working Papers 2015.35, Fondazione Eni Enrico Mattei.
- Gerarden, Todd D. & Newell, Richard G. & Stavins, Robert N., 2015. "Assessing the Energy-Efficiency Gap," Climate Change and Sustainable Development 202551, Fondazione Eni Enrico Mattei (FEEM).
- Maynou, L. & McGuire, A. & Serra-Sastre, V., 2019. "Exploring the Impact of New Medical Technology on Workforce Planning," Working Papers 19/07, Department of Economics, City University London.
- Hoffman, Mitchell & Burks, Stephen V., 2017.
"Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training,"
IZA Discussion Papers
10794, Institute of Labor Economics (IZA).
- Mitchell Hoffman & Stephen V. Burks, 2017. "Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training," NBER Working Papers 23240, National Bureau of Economic Research, Inc.
- Mary K. Olson & Nina Yin, 2021. "New clinical information and physician prescribing: How do pediatric labeling changes affect prescribing to children?," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 144-164, January.
- Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
- Ajay Bhaskarabhatla & Priyatam Anurag & Chirantan Chatterjee & Enrico Pennings, 2021. "How Does Regulation Impact Strategic Repositioning by Firms Across Submarkets? Evidence from the Indian Pharmaceutical Industry," Strategy Science, INFORMS, vol. 6(3), pages 209-227, September.
- Kohei Kawaguchi, 2021. "When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business," Management Science, INFORMS, vol. 67(3), pages 1670-1695, March.
- Luiz Andrade & Catherine Sermet & Sylvain Pichetti, 2016.
"Entry time effects and follow-on drug competition,"
The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(1), pages 45-60, January.
- Luiz Flavio Andrade, 2011. "Entry time effects and follow on drug competition," Post-Print halshs-00658247, HAL.
- Luiz Flavio Andrade, 2012. "Entry Time Effects and Follow-on Drugs Competition," Working Papers DT49, IRDES institut for research and information in health economics, revised Jun 2012.
- Luiz Flavio Andrade & Catherine Sermet & Sylvain Pichetti, 2016. "Entry time effects and follow-on drug competition," Post-Print halshs-01156509, HAL.
- Balat, Jorge & Papageorge, Nicholas W. & Qayyum, Shaiza, 2017.
"Positively Aware? Conflicting Expert Reviews and Demand for Medical Treatment,"
IZA Discussion Papers
10919, Institute of Labor Economics (IZA).
- Jorge F. Balat & Nicholas W. Papageorge & Shaiza Qayyum, 2018. "Positively Aware? Conflicting Expert Reviews and Demand for Medical Treatment," NBER Working Papers 24820, National Bureau of Economic Research, Inc.
- Matias Busso & Maria P. Gonzalez & Carlos Scartascini, 2022.
"On the demand for telemedicine: Evidence from the COVID‐19 pandemic,"
Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1491-1505, July.
- Busso, Matías & González, María P. & Scartascini, Carlos, 2021. "On the Demand for Telemedicine: Evidence from the Covid-19 Pandemic," IDB Publications (Working Papers) 11204, Inter-American Development Bank.
- Guofang Huang & Matthew Shum & Wei Tan, 2019. "Is pharmaceutical detailing informative? Evidence from contraindicated drug prescriptions," Quantitative Marketing and Economics (QME), Springer, vol. 17(2), pages 135-160, June.
- S. Sriram & Pradeep K. Chintagunta & Puneet Manchanda, 2015. "Service Quality Variability and Termination Behavior," Management Science, INFORMS, vol. 61(11), pages 2739-2759, November.
- Jürgen Maurer & Katherine M. Harris, 2016. "Learning to Trust Flu Shots: Quasi‐Experimental Evidence from the 2009 Swine Flu Pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1148-1162, September.
- Jose M. Fernandez, 2013.
"An Empirical Model Of Learning Under Ambiguity: The Case Of Clinical Trials,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(2), pages 549-573, May.
- Fernandez, Jose, 2008. "An Empirical Model of Learning under Ambiguity: The Case of Clinical Trials," MPRA Paper 8621, University Library of Munich, Germany.
- Lee, Chung-Ying, 2020. "Pricing strategy and moral hazard: Copay coupons in pharmaceuticals," International Journal of Industrial Organization, Elsevier, vol. 70(C).
- Pradeep Chintagunta & Renna Jiang & Ginger Jin, 2009.
"Information, learning, and drug diffusion: The case of Cox-2 inhibitors,"
Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 399-443, December.
- 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.
More about this item
Keywords
pharmaceutical marketing; sampling; detailing; patient payment ability;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:32:y:2013:i:3:p:522-527. See general information about how to correct material in RePEc.
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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.