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A Testable Theory of Imperfect Perception

Citations

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Cited by:

  1. Duffy, Sean & Smith, John, 2020. "An economist and a psychologist form a line: What can imperfect perception of length tell us about stochastic choice?," MPRA Paper 99417, University Library of Munich, Germany.
  2. Aycinena, Diego & Elbittar, Alexander & Gomberg, Andrei & Rentschler, Lucas, 2023. "Does free information provision crowd out costly information acquisition? It's a matter of timing," Games and Economic Behavior, Elsevier, vol. 141(C), pages 182-195.
  3. Andrew Caplin & Mark Dean & John Leahy, 2022. "Rationally Inattentive Behavior: Characterizing and Generalizing Shannon Entropy," Journal of Political Economy, University of Chicago Press, vol. 130(6), pages 1676-1715.
  4. Andrew Caplin & Dániel CsabaQuantCo & John Leahy & Oded Nov, 2020. "Rational Inattention, Competitive Supply, and Psychometrics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(3), pages 1681-1724.
  5. Dirk Bergemann & Stephen Morris, 2019. "Information Design: A Unified Perspective," Journal of Economic Literature, American Economic Association, vol. 57(1), pages 44-95, March.
  6. David Almog & Romain Gauriot & Lionel Page & Daniel Martin, 2024. "AI Oversight and Human Mistakes: Evidence from Centre Court," Papers 2401.16754, arXiv.org, revised Feb 2024.
  7. Bergemann, Dirk & Morris, Stephen, 2016. "Bayes correlated equilibrium and the comparison of information structures in games," Theoretical Economics, Econometric Society, vol. 11(2), May.
  8. Cristina Gualdani & Shruti Sinha, 2023. "Identification in Discrete Choice Models with Imperfect Information," Working Papers 949, Queen Mary University of London, School of Economics and Finance.
  9. Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2021. "Time Will Tell: Recovering Preferences When Choices Are Noisy," Journal of Political Economy, University of Chicago Press, vol. 129(6), pages 1828-1877.
  10. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
  11. Emerson Melo, 2021. "Learning in Random Utility Models Via Online Decision Problems," Papers 2112.10993, arXiv.org, revised Aug 2022.
  12. Tamer Boyaci & Yalçin Akçay, 2016. "Pricing when customers have limited attention," ESMT Research Working Papers ESMT-16-01, ESMT European School of Management and Technology, revised 19 Jan 2017.
  13. Dohmen, Thomas, 2014. "Behavioral labor economics: Advances and future directions," Labour Economics, Elsevier, vol. 30(C), pages 71-85.
  14. Duffy, Sean & Gussman, Steven & Smith, John, 2021. "Visual judgments of length in the economics laboratory: Are there brains in stochastic choice?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
  15. Pivato, Marcus & Vergopoulos, Vassili, 2020. "Subjective expected utility with imperfect perception," Journal of Mathematical Economics, Elsevier, vol. 88(C), pages 104-122.
  16. Brocas, Isabelle & Carrillo, Juan D., 2021. "Value computation and modulation: A neuroeconomic theory of self-control as constrained optimization," Journal of Economic Theory, Elsevier, vol. 198(C).
  17. Dirk Bergemann & Stephen Morris, 2013. "Bayes Correlated Equilibrium and the Comparison of Information Structures," Levine's Working Paper Archive 786969000000000725, David K. Levine.
  18. Cunningham, Thomas, 2013. "Biases and Implicit Knowledge," MPRA Paper 50292, University Library of Munich, Germany.
  19. Andrew Caplin & Daniel J. Martin, 2020. "Framing, Information, and Welfare," NBER Working Papers 27265, National Bureau of Economic Research, Inc.
  20. Martin, Daniel, 2017. "Strategic pricing with rational inattention to quality," Games and Economic Behavior, Elsevier, vol. 104(C), pages 131-145.
  21. Duffy, Sean & Gussman, Steven & Smith, John, 2019. "Judgments of length in the economics laboratory: Are there brains in choice?," MPRA Paper 93126, University Library of Munich, Germany.
  22. Kunal Pattanayak & Vikram Krishnamurthy, 2021. "Rationally Inattentive Utility Maximization for Interpretable Deep Image Classification," Papers 2102.04594, arXiv.org, revised Jul 2021.
  23. Sandro Ambuehl, 2017. "An Offer You Can't Refuse? Testing Undue Inducement," CESifo Working Paper Series 6296, CESifo.
  24. Alós-Ferrer, Carlos & Mihm, Maximilian, 2023. "An Axiomatic Characterization of Bayesian Updating," Journal of Mathematical Economics, Elsevier, vol. 104(C).
  25. Andrew Caplin & Daniel Martin & Philip Marx, 2022. "Calibrating for Class Weights by Modeling Machine Learning," Papers 2205.04613, arXiv.org, revised Jul 2022.
  26. Rehbeck, John, 2023. "Revealed Bayesian expected utility with limited data," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 81-95.
  27. Dirk Bergemann & Stephen Morris, 2011. "Correlated Equilibrium in Games with Incomplete Information," Levine's Working Paper Archive 786969000000000265, David K. Levine.
  28. Delavande, Adeline & Zafar, Basit, 2018. "Information and anti-American attitudes," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 1-31.
  29. Dirk Bergemann & Stephen Morris, 2013. "The Comparison of Information Structures in Games: Bayes Correlated Equilibrium and Individual Sufficiency," Levine's Working Paper Archive 786969000000000730, David K. Levine.
  30. Altmann, Steffen & Falk, Armin & Grunewald, Andreas, 2013. "Incentives and Information as Driving Forces of Default Effects," IZA Discussion Papers 7610, Institute of Labor Economics (IZA).
  31. Carlos Alós-Ferrer & Maximilian Mihm, 2021. "Updating stochastic choice," ECON - Working Papers 381, Department of Economics - University of Zurich.
  32. Andrew Caplin & Mark Dean, 2015. "Revealed Preference, Rational Inattention, and Costly Information Acquisition," American Economic Review, American Economic Association, vol. 105(7), pages 2183-2203, July.
  33. Daniel Martin & Philip Marx, 2022. "A Robust Test of Prejudice for Discrimination Experiments," Management Science, INFORMS, vol. 68(6), pages 4527-4536, June.
  34. Tom Cunningham & Jonathan de Quidt, 2016. "Implicit Preferences Inferred from Choice," CESifo Working Paper Series 5704, CESifo.
  35. Emerson Melo, 2021. "Learning In Random Utility Models Via Online Decision Problems," CAEPR Working Papers 2022-003 Classification-D, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  36. Chambers, Christopher P. & Liu, Ce & Rehbeck, John, 2020. "Costly information acquisition," Journal of Economic Theory, Elsevier, vol. 186(C).
  37. Lunn, Pete & Somerville, Jason J., 2015. "Surplus Identification with Non-Linear Returns," Papers WP522, Economic and Social Research Institute (ESRI).
  38. Flynn, Joel P. & Sastry, Karthik A., 2023. "Strategic mistakes," Journal of Economic Theory, Elsevier, vol. 212(C).
  39. Kunal Pattanayak & Vikram Krishnamurthy, 2020. "Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems," Papers 2007.03481, arXiv.org, revised Mar 2023.
  40. Caplin, Andrew, 2014. "Rational inattention and revealed preference: The data-theoretic approach to economic modeling," Research in Economics, Elsevier, vol. 68(4), pages 295-305.
  41. Martin, Daniel & Muñoz-Rodriguez, Edwin, 2022. "Cognitive costs and misperceived incentives: Evidence from the BDM mechanism," European Economic Review, Elsevier, vol. 148(C).
  42. Spyros Galanis & Sergei Mikhalishchev, 2024. "Information Aggregation with Costly Information Acquisition," Papers 2406.07186, arXiv.org.
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