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Learning, Private Information, and the Economic Evaluation of Randomized Experiments

Citations

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Cited by:

  1. Seth M. Freedman & Daniel W. Sacks & Kosali I. Simon & Coady Wing, 2022. "Direct and indirect effects of vaccines: Evidence from COVID-19," NBER Working Papers 30550, National Bureau of Economic Research, Inc.
  2. Tarantino, Emanuele & Simcoe, Timothy S. & Ganglmair, Bernhard, 2018. "Learning When to Quit: An Empirical Model of Experimentation," CEPR Discussion Papers 12733, C.E.P.R. Discussion Papers.
  3. Manuel Hermosilla, 2021. "Rushed Innovation: Evidence from Drug Licensing," Management Science, INFORMS, vol. 67(1), pages 257-278, January.
  4. Sylvain Chassang & Erik Snowberg & Ben Seymour & Cayley Bowles, 2015. "Accounting for Behavior in Treatment Effects: New Applications for Blind Trials," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
  5. Karine Lamiraud & Pierre‐Yves Geoffard, 2007. "Therapeutic non‐adherence: a rational behavior revealing patient preferences?," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1185-1204, November.
  6. Mullahy, John, 2018. "Individual results may vary: Inequality-probability bounds for some health-outcome treatment effects," Journal of Health Economics, Elsevier, vol. 61(C), pages 151-162.
  7. van den Berg, Gerard J., 2007. "An Economic Analysis of Exclusion Restrictions for Instrumental Variable Estimation," IZA Discussion Papers 2585, Institute of Labor Economics (IZA).
  8. Sylvain Chassang & Gerard Padro I Miquel & Erik Snowberg, 2012. "Selective Trials: A Principal-Agent Approach to Randomized Controlled Experiments," American Economic Review, American Economic Association, vol. 102(4), pages 1279-1309, June.
  9. Hippolyte d'Albis & Johanna Etner & Josselin Thuilliez, 2023. "Vaccination under pessimistic expectations in clinical trials and immunization campaigns," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(6), pages 1188-1211, December.
  10. Yan Xu & Jian Ni, 2022. "Entrepreneurial Learning and Disincentives in Crowdfunding Markets," Management Science, INFORMS, vol. 68(9), pages 6819-6864, September.
  11. Chemla, Gilles & Hennessy, Christopher, 2016. "Subject Rational Expectations Will Contaminate Randomized Controlled Medical Trials," CEPR Discussion Papers 11360, C.E.P.R. Discussion Papers.
  12. Gilleskie, Donna, 2010. "Work absences and doctor visits during an illness episode: The differential role of preferences, production, and policies among men and women," Journal of Econometrics, Elsevier, vol. 156(1), pages 148-163, May.
  13. 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.
  14. Michael Darden, 2017. "Smoking, Expectations, and Health: A Dynamic Stochastic Model of Lifetime Smoking Behavior," Journal of Political Economy, University of Chicago Press, vol. 125(5), pages 1465-1522.
  15. 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.
  16. Wang, Lei & Zhao, Puying & Shao, Jun, 2021. "Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse," Computational Statistics & Data Analysis, Elsevier, vol. 156(C).
  17. John Mullahy, 2017. "Individual Results May Vary: Elementary Analytics of Inequality-Probability Bounds, with Applications to Health-Outcome Treatment Effects," NBER Working Papers 23603, National Bureau of Economic Research, Inc.
  18. 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.
  19. Saxell, Tanja, 2014. "Industrial organization studies on pharmaceutical markets," Research Reports P65, VATT Institute for Economic Research.
  20. Sergei Koulayev & Emilia Simeonova & Niels Skipper, 2017. "Can Physicians Affect Patient Adherence With Medication?," Health Economics, John Wiley & Sons, Ltd., vol. 26(6), pages 779-794, June.
  21. Barton H. Hamilton & Andrés Hincapié & Robert A. Miller & Nicholas W. Papageorge, 2021. "Innovation And Diffusion Of Medical Treatment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 953-1009, August.
  22. Hu, Yingyao & Kayaba, Yutaka & Shum, Matthew, 2013. "Nonparametric learning rules from bandit experiments: The eyes have it!," Games and Economic Behavior, Elsevier, vol. 81(C), pages 215-231.
  23. Yusuke Narita, 2018. "Toward an Ethical Experiment," Cowles Foundation Discussion Papers 2127, Cowles Foundation for Research in Economics, Yale University.
  24. Saxell, Tanja, 2014. "Industrial organization studies on pharmaceutical markets," Research Reports 65, VATT Institute for Economic Research.
  25. Yusuke Narita, 2018. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Cowles Foundation Discussion Papers 2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
  26. Chunhua Wu & Hai Che & Tat Y. Chan & Xianghua Lu, 2015. "The Economic Value of Online Reviews," Marketing Science, INFORMS, vol. 34(5), pages 739-754, September.
  27. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  28. 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.
  29. Jinyang Zheng & Fei Ren & Yong Tan & Xi Chen, 2020. "Optimizing Two-Sided Promotion for Transportation Network Companies: A Structural Model with Conditional Bayesian Learning," Information Systems Research, INFORMS, vol. 31(3), pages 692-714, September.
  30. Barton Hamilton & Andrés Hincapié & Emma C. Kalish & Nicholas W. Papageorge, 2021. "Medical Innovation and Health Disparities," NBER Working Papers 28864, National Bureau of Economic Research, Inc.
  31. 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.
  32. 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.
  33. Chemla, Gilles & Hennessy, Christopher A., 2019. "Controls, belief updating, and bias in medical RCTs," Journal of Economic Theory, Elsevier, vol. 184(C).
  34. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
  35. S. Sriram & Pradeep K. Chintagunta & Puneet Manchanda, 2015. "Service Quality Variability and Termination Behavior," Management Science, INFORMS, vol. 61(11), pages 2739-2759, November.
  36. 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.
  37. Karine Lamiraud & Pierre-Yves Geoffard, 2007. "Therapeutic non-adherence: a rational behavior revealing patient preferences?," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1185-1204.
  38. 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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