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Maximization, learning, and economic behavior

Citations

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Cited by:

  1. Janet M. Currie & W. Bentley MacLeod, 2020. "Understanding Doctor Decision Making: The Case of Depression Treatment," Econometrica, Econometric Society, vol. 88(3), pages 847-878, May.
  2. Johann Lussange & Ivan Lazarevich & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2021. "Modelling Stock Markets by Multi-agent Reinforcement Learning," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 113-147, January.
  3. Erev, Ido & Hiller, Maximilian & Klößner, Stefan & Lifshitz, Gal & Mertins, Vanessa & Roth, Yefim, 2022. "Promoting healthy behavior through repeated deposit contracts: An intervention study," Journal of Economic Psychology, Elsevier, vol. 92(C).
  4. Roth, Yefim & Plonsky, Ori & Shalev, Edith & Erev, Ido, 2020. "On The Value of Alert Systems and Gentle Rule Enforcement in Addressing Pandemics," OSF Preprints zrx32, Center for Open Science.
  5. Ming D. LeungMing D. Leung, 2018. "Learning to Hire? Hiring as a Dynamic Experiential Learning Process in an Online Market for Contract Labor," Management Science, INFORMS, vol. 64(12), pages 5671-5668, December.
  6. Muriel Niederle, 2014. "Gender," NBER Working Papers 20788, National Bureau of Economic Research, Inc.
  7. Ofir Yakobi & Doron Cohen & Eitan Naveh & Ido Erev, 2020. "Reliance on small samples and the value of taxing reckless behaviors," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(2), pages 266-281, March.
  8. Fezzi, Carlo & Menapace, Luisa & Raffaelli, Roberta, 2021. "Estimating risk preferences integrating insurance choices with subjective beliefs," European Economic Review, Elsevier, vol. 135(C).
  9. repec:isu:genstf:201501010800005579 is not listed on IDEAS
  10. Stefano Balietti & Brennan Klein & Christoph Riedl, 2021. "Optimal design of experiments to identify latent behavioral types," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 772-799, September.
  11. Schurr, Amos & Rodensky, Dotan & Erev, Ido, 2014. "The effect of unpleasant experiences on evaluation and behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 1-9.
  12. Di Guida, Sibilla & Erev, Ido & Marchiori, Davide, 2015. "Cross cultural differences in decisions from experience: Evidence from Denmark, Israel, and Taiwan," Journal of Economic Psychology, Elsevier, vol. 49(C), pages 47-58.
  13. Bahník, Štěpán & Vranka, Marek, 2023. "How does probabilistic harm affect dishonesty? An experiment," Finance Research Letters, Elsevier, vol. 58(PB).
  14. Pittnauer, Sabine & Hohnisch, Martin, 2023. "Observing the creation of new knowledge in the economics laboratory—Do participants discover how to learn from outcome feedback in a dynamic decision problem?," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 382-405.
  15. Wei James Chen & Joseph Tao-yi Wang, 2020. "A modified Monty Hall problem," Theory and Decision, Springer, vol. 89(2), pages 151-156, September.
  16. Sandro Casal & Nives DellaValle & Luigi Mittone & Ivan Soraperra, 2017. "Feedback and efficient behavior," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-21, April.
  17. Alina Ferecatu & Arnaud De Bruyn, 2022. "Understanding Managers’ Trade-Offs Between Exploration and Exploitation," Marketing Science, INFORMS, vol. 41(1), pages 139-165, January.
  18. Mikhail S. Spektor & Hannah Seidler, 2022. "Violations of economic rationality due to irrelevant information during learning in decision from experience," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 17(2), pages 425-448, March.
  19. Ori Plonsky & Yefim Roth & Ido Erev, 2021. "Underweighting of rare events in social interactions and its implications to the design of voluntary health applications," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(2), pages 267-289, March.
  20. Jia Liu & Yohanes E. Riyanto, 2017. "Information transparency and equilibrium selection in coordination games: an experimental study," Theory and Decision, Springer, vol. 82(3), pages 415-433, March.
  21. Daniel W. Elfenbein & Adina D. Sterling, 2018. "(When) Is Hiring Strategic? Human Capital Acquisition in the Age of Algorithms," Strategy Science, INFORMS, vol. 3(4), pages 668-682, December.
  22. Judith Avrahami & Yaakov Kareev & Einav Hart, 2014. "Taking the sting out of choice: Diversification of investments," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(5), pages 373-386, September.
  23. Johann Lussange & Stefano Vrizzi & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2023. "Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1523-1544, April.
  24. Janet M. Currie & W. Bentley MacLeod, 2018. "Understanding Doctor Decision Making: The Case of Depression," NBER Working Papers 24955, National Bureau of Economic Research, Inc.
  25. Marios Kokkodis & Sam Ransbotham, 2023. "Learning to Successfully Hire in Online Labor Markets," Management Science, INFORMS, vol. 69(3), pages 1597-1614, March.
  26. Mikhail S. Spektor & Dirk U. Wulff, 2021. "Myopia drives reckless behavior in response to over-taxation," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(1), pages 114-130, January.
  27. Ido Erev & Alvin E. Roth & Robert Slonim, 2016. "Minimax across a population of games," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(2), pages 144-156, November.
  28. Anna Conte & M. Vittoria Levati & Natalia Montinari, 2019. "Experience in public goods experiments," Theory and Decision, Springer, vol. 86(1), pages 65-93, February.
  29. Kin Fai Ellick Wong & Jessica Y. Y. Kwong, 2018. "Resolving the Judgment and Decision-Making Paradox Between Adaptive Learning and Escalation of Commitment," Management Science, INFORMS, vol. 64(4), pages 1911-1925, April.
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