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The effects of detailing on prescribing decisions under quality uncertainty

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  1. Shervin Shahrokhi Tehrani & Andrew T. Ching, 2024. "A Heuristic Approach to Explore: The Value of Perfect Information," Management Science, INFORMS, vol. 70(5), pages 3200-3224, May.
  2. Guofang Huang & Hong Luo & Jing Xia, 2019. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning," Management Science, INFORMS, vol. 65(12), pages 5556-5583, December.
  3. Haijing Hao & Rema Padman & Baohong Sun & Rahul Telang, 2019. "Modeling social learning on consumers’ long-term usage of a mobile technology: a Bayesian estimation of a Bayesian learning model," Electronic Commerce Research, Springer, vol. 19(1), pages 1-21, March.
  4. Anindya Ghose & Sang Pil Han, 2009. "A Dynamic Structural Model of User Learning in Mobile Media Content," Working Papers 09-24, NET Institute, revised Oct 2009.
  5. Jialie Chen & Vithala R. Rao, 2020. "A Dynamic Model of Rational Addiction with Stockpiling and Learning: An Empirical Examination of E-cigarettes," Management Science, INFORMS, vol. 66(12), pages 5886-5905, December.
  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. Ching, Andrew T. & Erdem, Tülin & Keane, Michael P., 2014. "A simple method to estimate the roles of learning, inventories and category consideration in consumer choice," Journal of choice modelling, Elsevier, vol. 13(C), pages 60-72.
  8. Alicia Barroso & Gerard Llobet, 2011. "Advertising and Consumer Awareness of New, Differentiated Products," Working Papers wp2011_1104, CEMFI.
  9. McKibbin, Rebecca, 2023. "The effect of RCTs on drug demand: Evidence from off-label cancer drugs," Journal of Health Economics, Elsevier, vol. 90(C).
  10. Mingyu Joo & Dinesh K. Gauri & Kenneth C. Wilbur, 2020. "Temporal Distance and Price Responsiveness: Empirical Investigation of the Cruise Industry," Management Science, INFORMS, vol. 66(11), pages 5362-5388, November.
  11. Suppliet, Moritz, 2020. "Umbrella branding in pharmaceutical markets," Journal of Health Economics, Elsevier, vol. 73(C).
  12. Anita Rao, 2020. "Strategic Research and Development Investment Decisions in the Pharmaceutical Industry," Marketing Science, INFORMS, vol. 39(3), pages 564-586, May.
  13. Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
  14. Carey, Colleen & Lieber, Ethan M.J. & Miller, Sarah, 2021. "Drug firms’ payments and physicians’ prescribing behavior in Medicare Part D," Journal of Public Economics, Elsevier, vol. 197(C).
  15. Nitin Mehta & Jian Ni & Kannan Srinivasan & Baohong Sun, 2017. "A Dynamic Model of Health Insurance Choices and Healthcare Consumption Decisions," Marketing Science, INFORMS, vol. 36(3), pages 338-360, May.
  16. 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.
  17. Sood, Ashish & Kappe, Eelco & Stremersch, Stefan, 2014. "The commercial contribution of clinical studies for pharmaceutical drugs," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 65-77.
  18. Andrew T. Ching & Masakazu Ishihara, 2012. "Measuring the Informative and Persuasive Roles of Detailing on Prescribing Decisions," Management Science, INFORMS, vol. 58(7), pages 1374-1387, July.
  19. Andrew T. Ching & Robert Clark & Ignatius Horstmann & Hyunwoo Lim, 2016. "The Effects of Publicity on Demand: The Case of Anti-Cholesterol Drugs," Marketing Science, INFORMS, vol. 35(1), pages 158-181, January.
  20. Jie Chen & John Rizzo, 2012. "Pricing dynamics and product quality: the case of antidepressant drugs," Empirical Economics, Springer, vol. 42(1), pages 279-300, February.
  21. 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.
  22. Tat Chan & Chakravarthi Narasimhan & Ying Xie, 2013. "Treatment Effectiveness and Side Effects: A Model of Physician Learning," Management Science, INFORMS, vol. 59(6), pages 1309-1325, June.
  23. Arjen van Lin & Els Gijsbrechts, 2019. "“Hello Jumbo!” The Spatio-Temporal Rollout and Traffic to a New Grocery Chain After Acquisition," Management Science, INFORMS, vol. 67(5), pages 2388-2411, May.
  24. Brandyn F. Churchill & Laura E. Henkhaus & Emily C. Lawler, 2025. "Effect of vaccine recommendations on consumer and firm behavior," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 44(1), pages 125-150, January.
  25. Andrew T. Ching & Hyunwoo Lim, 2020. "A Structural Model of Correlated Learning and Late-Mover Advantages: The Case of Statins," Management Science, INFORMS, vol. 66(3), pages 1095-1123, March.
  26. 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.
  27. Janssen, Aljoscha & Granlund, David, 2022. "The Importance of the First Generic Substitution: Evidence from Sweden," Working Paper Series 1428, Research Institute of Industrial Economics.
  28. Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
  29. 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.
  30. Haijing Hao & Rema Padman & Baohong Sun & Rahul Telang, 2018. "Quantifying the Impact of Social Influence on the Information Technology Implementation Process by Physicians: A Hierarchical Bayesian Learning Approach," Information Systems Research, INFORMS, vol. 29(1), pages 25-41, March.
  31. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2017. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 223-257, Springer.
  32. 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.
  33. Arcidiacono, Peter & Ellickson, Paul B. & Landry, Peter & Ridley, David B., 2013. "Pharmaceutical followers," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 538-553.
  34. Qiang Liu & Sachin Gupta & Sriram Venkataraman & Hongju Liu, 2016. "An Empirical Model of Drug Detailing: Dynamic Competition and Policy Implications," Management Science, INFORMS, vol. 62(8), pages 2321-2340, August.
  35. Hongju Liu & Qiang Liu & Pradeep K. Chintagunta, 2017. "Promotion Spillovers: Drug Detailing in Combination Therapy," Marketing Science, INFORMS, vol. 36(3), pages 382-401, May.
  36. Nosal, K., 2016. "Physician Group Practices and Technology Diffusion: Evidence from New Antidiabetic Drugs," Health, Econometrics and Data Group (HEDG) Working Papers 16/22, HEDG, c/o Department of Economics, University of York.
  37. Xiao Liu & Alan Montgomery & Kannan Srinivasan, 2018. "Analyzing Bank Overdraft Fees with Big Data," Marketing Science, INFORMS, vol. 37(6), pages 855-882, November.
  38. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
  39. 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.
  40. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2020. "How much do consumers know about the quality of products? Evidence from the diaper market," The Japanese Economic Review, Springer, vol. 71(4), pages 541-569, October.
  41. 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.
  42. David B. Ridley, 2015. "Payments, Promotion, And The Purple Pill," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 86-103, January.
  43. 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).
  44. Bradley T. Shapiro, 2018. "Informational Shocks, Off-Label Prescribing, and the Effects of Physician Detailing," Management Science, INFORMS, vol. 64(12), pages 5925-5945, December.
  45. Kohei Kawaguchi & Kosuke Uetake & Yasutora Watanabe, 2021. "Designing Context-Based Marketing: Product Recommendations Under Time Pressure," Management Science, INFORMS, vol. 67(9), pages 5642-5659, September.
  46. Guy David & Sara Markowitz, 2011. "Side Effects of Competition: the Role of Advertising and Promotion in Pharmaceutical Markets," NBER Working Papers 17162, National Bureau of Economic Research, Inc.
  47. Lawler, Emily C. & Skira, Meghan M., 2022. "Information shocks and pharmaceutical firms’ marketing efforts: Evidence from the Chantix black box warning removal," Journal of Health Economics, Elsevier, vol. 81(C).
  48. S. Sriram & Pradeep K. Chintagunta & Puneet Manchanda, 2015. "Service Quality Variability and Termination Behavior," Management Science, INFORMS, vol. 61(11), pages 2739-2759, November.
  49. Rebecca McKibbin & Bruce A. Weinberg, 2021. "Does Research Save Lives? The Local Spillovers of Biomedical Research on Mortality," NBER Working Papers 29420, National Bureau of Economic Research, Inc.
  50. 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.
  51. 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.
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