IDEAS home Printed from https://ideas.repec.org/a/emx/esteco/v10y1995i1p103-112.html

The role of expectations in an adaptive search model

Author

Listed:
  • Vatter, Jaime E.

    (Universidad de Chile)

Abstract

The purpose of this paper is to find sufficient conditions under which the results of the simple search model are preserved when learning is allowed. It is shown that the properties of the simple search model are preserved with very simple assumptions. Intuitively, we need a non explosive agent. That is, expectations must be smooth.

Suggested Citation

  • Vatter, Jaime E., 1995. "The role of expectations in an adaptive search model," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 10(1), pages 103-112.
    • Handle: RePEc:emx:esteco:v:10:y:1995:i:1:p:103-112
    as

    Download full text from publisher

    File URL: https://estudioseconomicos.colmex.mx/index.php/economicos/article/view/269/272
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rothschild, Michael, 1974. "Searching for the Lowest Price When the Distribution of Prices Is Unknown," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 689-711, July/Aug..
    2. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey," Economic Inquiry, Western Economic Association International, vol. 14(3), pages 347-368, September.
    3. Bikhchandani, Sushil & Sharma, Sunil, 1996. "Optimal search with learning," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 333-359.
    4. Michael Rothschild, 1974. "Searching for the Lowest Price When the Distribution of Prices Is Unknown: A Summary," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 1, pages 293-294, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    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. Rafael P. Greminger, 2022. "Optimal Search and Discovery," Management Science, INFORMS, vol. 68(5), pages 3904-3924, May.
    2. Greminger, Rafael, 2019. "Optimal Search and Awareness Expansion," Other publications TiSEM ac47e6ff-42a4-4d70-addd-6, Tilburg University, School of Economics and Management.
    3. Thomas J. Emmerling & Abdullah Yavas & Yildiray Yildirim, 2021. "To accept or not to accept: Optimal strategy for sellers in real estate," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(S1), pages 268-296, March.
    4. Adam, Klaus, 2001. "Learning While Searching for the Best Alternative," Journal of Economic Theory, Elsevier, vol. 101(1), pages 252-280, November.
    5. Rafael P. Greminger, 2019. "Optimal Search and Discovery," Papers 1911.07773, arXiv.org, revised Feb 2022.
    6. Greminger, Rafael, 2019. "Optimal Search and Awareness Expansion," Discussion Paper 2019-034, Tilburg University, Center for Economic Research.
    7. Laura J. Kornish & Karl T. Ulrich, 2011. "Opportunity Spaces in Innovation: Empirical Analysis of Large Samples of Ideas," Management Science, INFORMS, vol. 57(1), pages 107-128, January.
    8. David, Israel, 1998. "Explicit results for a class of asset-selling problems," European Journal of Operational Research, Elsevier, vol. 110(3), pages 576-584, November.
    9. Amelie F. Constant & Annabelle Krause & Ulf Rinne & Klaus F. Zimmermann, 2017. "Reservation wages of first- and second-generation migrants," Applied Economics Letters, Taylor & Francis Journals, vol. 24(13), pages 945-949, July.
    10. Gershkov, Alex & Moldovanu, Benny, 2013. "Non-Bayesian optimal search and dynamic implementation," Economics Letters, Elsevier, vol. 118(1), pages 121-125.
    11. Xing Zhang & Tat Y. Chan & Ying Xie, 2018. "Price Search and Periodic Price Discounts," Management Science, INFORMS, vol. 64(2), pages 495-510, February.
    12. Jochen Haller, 2002. "The Impact of Electronic Markets on B2B-Relationships," Industrial Organization 0204004, University Library of Munich, Germany, revised 05 Feb 2004.
    13. Akiko Maruyama, 2018. "One-sided learning about one fs own type in a two-sided search model: The case of n types of agents," GRIPS Discussion Papers 18-15, National Graduate Institute for Policy Studies.
    14. Hak Chun, Young, 1996. "Selecting the best choice in the weighted secretary problem," European Journal of Operational Research, Elsevier, vol. 92(1), pages 135-147, July.
    15. Dmitry Ryvkin & Danila Serra, 2016. "The Industrial Organization of Corruption: Monopoly, Competition and Collusion," Working Papers wp2016_10_01, Department of Economics, Florida State University.
    16. Ryvkin, Dmitry & Serra, Danila, 2020. "Corruption and competition among bureaucrats: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 439-451.
    17. Bikhchandani, Sushil & Sharma, Sunil, 1996. "Optimal search with learning," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 333-359.
    18. Bart J. Bronnenberg & Jun B. Kim & Carl F. Mela, 2016. "Zooming In on Choice: How Do Consumers Search for Cameras Online?," Marketing Science, INFORMS, vol. 35(5), pages 693-712, September.
    19. Flores-Szwagrzak, Karol, 2022. "Learning by Convex Combination," Working Papers 16-2022, Copenhagen Business School, Department of Economics.
    20. Akiko Maruyama, 2016. "One-sided learning about one's own type in a two-sided search model," GRIPS Discussion Papers 15-26, National Graduate Institute for Policy Studies.

    More about this item

    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:emx:esteco:v:10:y:1995:i:1:p:103-112. 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: Ximena Varela (email available below). General contact details of provider: https://edirc.repec.org/data/cecolmx.html .

    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.