IDEAS home Printed from https://ideas.repec.org/p/cla/levarc/786969000000000583.html
   My bibliography  Save this paper

A Theory of Subjective Learning

Author

Listed:
  • David Dillenberger
  • Juan Sebastian Lleras
  • Philipp Sadowski
  • Norio Takeoka

Abstract

No abstract is available for this item.

Suggested Citation

  • David Dillenberger & Juan Sebastian Lleras & Philipp Sadowski & Norio Takeoka, 2012. "A Theory of Subjective Learning," Levine's Working Paper Archive 786969000000000583, David K. Levine.
    • Handle: RePEc:cla:levarc:786969000000000583
    as

    Download full text from publisher

    File URL: http://www.dklevine.com/archive/refs4786969000000000583.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Higashi, Youichiro & Hyogo, Kazuya & Takeoka, Norio, 2009. "Subjective random discounting and intertemporal choice," Journal of Economic Theory, Elsevier, vol. 144(3), pages 1015-1053, May.
    2. R. Vijay Krishna & Philipp Sadowski, 2012. "Dynamic Preference for Flexibility," Working Papers 12-16, Duke University, Department of Economics.
    3. Dekel, Eddie & Lipman, Barton L & Rustichini, Aldo, 2001. "Representing Preferences with a Unique Subjective State Space," Econometrica, Econometric Society, vol. 69(4), pages 891-934, July.
    4. Hyogo, Kazuya, 2007. "A subjective model of experimentation," Journal of Economic Theory, Elsevier, vol. 133(1), pages 316-330, March.
    5. Eddie Dekel & Barton L Lipman & Aldo Rustichini & Todd Sarver, 2007. "Representing Preferences with a Unique Subjective State Space: A Corrigendum -super-1," Econometrica, Econometric Society, vol. 75(2), pages 591-600, March.
    6. Kreps, David M, 1979. "A Representation Theorem for "Preference for Flexibility"," Econometrica, Econometric Society, vol. 47(3), pages 565-577, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. David Dillenberger & Philipp Sadowski, 2012. "Generalized Partition and Subjective Filtration," Levine's Working Paper Archive 786969000000000591, David K. Levine.
    2. David Dillenberger & Philipp Sadowski, 2012. "Generalized Partition and Subjective Filtration," PIER Working Paper Archive 12-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David Dillenberger & Philipp Sadowski & Juan Sebastian Lleras & Norio Takeoka, 2012. "A Theory of Subjective Learning," PIER Working Paper Archive 12-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. Youichiro Higashi & Kazuya Hyogo & Gil Riella, 2020. "Dynamically Consistent Menu Preferences," KIER Working Papers 1047, Kyoto University, Institute of Economic Research.
    3. David Dillenberger & Philipp Sadowski, 2011. "Subjective Learning, Second Version," PIER Working Paper Archive 12-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 07 Mar 2012.
    4. Higashi, Youichiro & Hyogo, Kazuya & Takeoka, Norio, 2014. "Stochastic endogenous time preference," Journal of Mathematical Economics, Elsevier, vol. 51(C), pages 77-92.
    5. David Dillenberger & Philipp Sadowski, 2011. "Models of Subjective Learning," PIER Working Paper Archive 11-042, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. Dillenberger, David & Lleras, Juan Sebastián & Sadowski, Philipp & Takeoka, Norio, 2014. "A theory of subjective learning," Journal of Economic Theory, Elsevier, vol. 153(C), pages 287-312.
    7. Daniele Pennesi, 2021. "Between Commitment and Flexibility: Revealing Anticipated Regret and Elation," Working papers 071, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    8. David Dillenberger & Juan Sebastian Lleras & Philipp Sadowski & Norio Takeoka, 2012. "A Theory of Subjective Learning, Third Version," PIER Working Paper Archive 13-067, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Sep 2013.
    9. David Dillenberger & Juan Sebastian Lleras & Philipp Sadowski & Norio Takeoka, 2012. "A Theory of Subjective Learning, Second Version," PIER Working Paper Archive 13-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 18 Mar 2013.
    10. Philipp Sadowski, 2011. "Contingent Preference for Flexibility: Eliciting Beliefs from Behavior," Levine's Working Paper Archive 661465000000001189, David K. Levine.
    11. Koida, Nobuo, 2022. "Indecisiveness, preference for flexibility, and a unique subjective state space," Journal of Mathematical Economics, Elsevier, vol. 103(C).
    12. Youichiro Higashi & Kazuya Hyogo & Gil Riella, 2024. "Dynamically consistent menu preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 78(4), pages 1047-1074, December.
    13. Eddie Dekel & Barton L. Lipman & Aldo Rustichini, 2009. "Temptation-Driven Preferences," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 937-971.
    14. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2019. "Dynamic Random Utility," Econometrica, Econometric Society, vol. 87(6), pages 1941-2002, November.
    15. Riella, Gil, 2013. "Preference for Flexibility and Dynamic Consistency," Journal of Economic Theory, Elsevier, vol. 148(6), pages 2467-2482.
    16. Leonardo Pejsachowicz & Séverine Toussaert, 2017. "Choice deferral, indecisiveness and preference for flexibility," Post-Print hal-02862199, HAL.
    17. Buturak, Gökhan & Evren, Özgür, 2017. "Choice overload and asymmetric regret," Theoretical Economics, Econometric Society, vol. 12(3), September.
    18. Schenone, Pablo, 2016. "Identifying subjective beliefs in subjective state space models," Games and Economic Behavior, Elsevier, vol. 95(C), pages 59-72.
    19. Hamed Hamze Bajgiran & Federico Echenique, 2022. "Closure operators: Complexity and applications to classification and decision-making," Papers 2202.05339, arXiv.org, revised May 2022.
    20. Todd Sarver & Haluk Ergin, 2009. "A Subjective Model of Temporal Preferences," 2009 Meeting Papers 1183, Society for Economic Dynamics.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cla:levarc:786969000000000583. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: David K. Levine (email available below). General contact details of provider: http://www.dklevine.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.