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

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Cited by:

  1. Jackson Bunting & Paul Diegert & Arnaud Maurel, 2024. "Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation," Papers 2402.08575, arXiv.org.
  2. 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.
  3. 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.
  4. 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).
  5. Mitsukuni Nishida, 2018. "A Structural Analysis of Entry Order, Performance, and Geography: The Case of the Convenience-Store Industry in Japan," KIER Working Papers 993, Kyoto University, Institute of Economic Research.
  6. Nuno Camacho & Bas Donkers & Stefan Stremersch, 2011. "Predictably Non-Bayesian: Quantifying Salience Effects in Physician Learning About Drug Quality," Marketing Science, INFORMS, vol. 30(2), pages 305-320, 03-04.
  7. Ram Bala & Pradeep Bhardwaj & Yuxin Chen, 2013. "Offering Pharmaceutical Samples: The Role of Physician Learning and Patient Payment Ability," Marketing Science, INFORMS, vol. 32(3), pages 522-527, May.
  8. 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.
  9. Hai Che & Tülin Erdem & T. Sabri Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
  10. Maynou, Laia & Pearson, Georgia & McGuire, Alistair & Serra-Sastre, Victoria, 2022. "The diffusion of robotic surgery: Examining technology use in the English NHS," Health Policy, Elsevier, vol. 126(4), pages 325-336.
  11. Mi Zhou & Dan Geng & Vibhanshu Abhishek & Beibei Li, 2020. "When the Bank Comes to You: Branch Network and Customer Omnichannel Banking Behavior," Information Systems Research, INFORMS, vol. 31(1), pages 176-197, March.
  12. 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.
  13. 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.
  14. 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.
  15. Steven Callander, 2011. "Searching and Learning by Trial and Error," American Economic Review, American Economic Association, vol. 101(6), pages 2277-2308, October.
  16. 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.
  17. Lee, Chung-Ying, 2020. "Pricing strategy and moral hazard: Copay coupons in pharmaceuticals," International Journal of Industrial Organization, Elsevier, vol. 70(C).
  18. 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.
  19. Janssen, Aljoscha & Granlund, David, 2023. "The importance of the first generic substitution: Evidence from Sweden," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 1-25.
  20. Saxell, Tanja, 2014. "Industrial organization studies on pharmaceutical markets," Research Reports P65, VATT Institute for Economic Research.
  21. 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.
  22. Janssen, Aljoscha & Granlund, David, 2022. "The Importance of the First Generic Substitution: Evidence from Sweden," Working Paper Series 1428, Research Institute of Industrial Economics.
  23. Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
  24. Andrew Ching & Masakazu Ishihara, 2010. "The effects of detailing on prescribing decisions under quality uncertainty," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 123-165, June.
  25. David B. Ridley & Chung-Ying Lee, 2020. "Does Medicare Reimbursement Drive Up Drug Launch Prices?," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 980-993, December.
  26. Dubois, Pierre & Tunçel, Tuba, 2021. "Identifying the effects of scientific information and recommendations on physicians’ prescribing behavior," Journal of Health Economics, Elsevier, vol. 78(C).
  27. 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.
  28. 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.
  29. 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.
  30. Marisa E. Domino, 2012. "Does managed care affect the diffusion of psychotropic medications?," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 428-443, April.
  31. 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).
  32. 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.
  33. 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.
  34. Saxell, Tanja, 2014. "Industrial organization studies on pharmaceutical markets," Research Reports 65, VATT Institute for Economic Research.
  35. Dirk Bergemann & Juuso Välimäki, 2006. "Dynamic Pricing of New Experience Goods," Journal of Political Economy, University of Chicago Press, vol. 114(4), pages 713-743, August.
  36. Hai Che & Tülin Erdem & T. Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
  37. Dalen Dag Morten & Locatelli Marilena & Sorisio Enrico & Strom Steinar, 2011. "A Probability Approach to Pharmaceutical Demand and Price Setting: Does the Identity of the Third-Party Payer Matters for Prescribing Doctors?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201110, University of Turin.
  38. Hugo Vilares & Manuel Coutinho Pereira, 2014. "A review of the pharmaceutical market in Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
  39. 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.
  40. 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.
  41. McKibbin, Rebecca, 2023. "The effect of RCTs on drug demand: Evidence from off-label cancer drugs," Journal of Health Economics, Elsevier, vol. 90(C).
  42. Karthik Sridhar & Ram Bezawada & Minakshi Trivedi, 2012. "Investigating the Drivers of Consumer Cross-Category Learning for New Products Using Multiple Data Sets," Marketing Science, INFORMS, vol. 31(4), pages 668-688, July.
  43. Berndt, Ernst R. & Gibbons, Robert S. & Kolotilin, Anton & Taub, Anna Levine, 2015. "The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics," Journal of Health Economics, Elsevier, vol. 40(C), pages 26-39.
  44. Dag Morten Dalen & Marilena Locatelli & Enrico Sorisio & Steinar Str?m, 2014. "Does the Identity of the Third-Party Payer Matter for Prescribing Doctors?," Applied Economics and Finance, Redfame publishing, vol. 1(1), pages 39-54, May.
  45. Jonathan Skinner & Douglas Staiger, 2007. "Technology Adoption from Hybrid Corn to Beta-Blockers," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 545-570, National Bureau of Economic Research, Inc.
  46. Amitabh Chandra & David Malenka & Jonathan Skinner, 2014. "The Diffusion of New Medical Technology: The Case of Drug-Eluting Stents," NBER Chapters, in: Discoveries in the Economics of Aging, pages 389-403, National Bureau of Economic Research, Inc.
  47. Juanjuan Zhang, 2010. "The Sound of Silence: Observational Learning in the U.S. Kidney Market," Marketing Science, INFORMS, vol. 29(2), pages 315-335, 03-04.
  48. 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.
  49. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
  50. 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.
  51. Xu, Yan, 2017. "Essays on preference formation and home production," Other publications TiSEM b028fd7e-53ba-4ff6-97eb-4, Tilburg University, School of Economics and Management.
  52. Katharina Elisabeth Blankart & Tom Stargardt, 2020. "The impact of drug quality ratings from health technology assessments on the adoption of new drugs by physicians in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 63-82, October.
  53. Kelli Marquardt & Conor Ryan, 2023. "The Role of Information in Pharmaceutical Advertising: Theory and Evidence," Working Paper Series WP 2023-40, Federal Reserve Bank of Chicago.
  54. 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.
  55. 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 University Rotterdam.
  56. Sridhar Narayanan & Puneet Manchanda, 2009. "Heterogeneous Learning and the Targeting of Marketing Communication for New Products," Marketing Science, INFORMS, vol. 28(3), pages 424-441, 05-06.
  57. S. Sriram & Pradeep K. Chintagunta & Puneet Manchanda, 2015. "Service Quality Variability and Termination Behavior," Management Science, INFORMS, vol. 61(11), pages 2739-2759, November.
  58. 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.
  59. Maurer, J. & Harris, K.M., 2015. "Learning to trust flu shots: quasi-experimental evidence on the role of learning in influenza vaccination decisions from the 2009 influenza A/H1N1 (swine flu) pandemic," Health, Econometrics and Data Group (HEDG) Working Papers 15/19, HEDG, c/o Department of Economics, University of York.
  60. Thomas Lebesmuehlbacher & Rhet A. Smith, 2021. "The effect of medical cannabis laws on pharmaceutical marketing to physicians," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2409-2436, September.
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