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Learning While Searching for the Beat Alternative

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  • Adam, K.

Abstract

This paper delovers the solution to an optimal search problem with learning where the searcher has distinguishable search opportunities. The optimal sampling strategy is characterized by simple reservation prices that determine which of the search alternatives to sample and when to stop search.

Suggested Citation

  • Adam, K., 1999. "Learning While Searching for the Beat Alternative," Economics Working Papers eco99/4, European University Institute.
    • Handle: RePEc:eui:euiwps:eco99/4
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Deishin Lee & Eric Van den Steen, 2010. "Managing Know-How," Management Science, INFORMS, vol. 56(2), pages 270-285, February.
    2. Hector Chade & Jan Eeckhout & Lones Smith, 2017. "Sorting through Search and Matching Models in Economics," Journal of Economic Literature, American Economic Association, vol. 55(2), pages 493-544, June.
    3. Ke, T. Tony & Villas-Boas, J. Miguel, 2019. "Optimal learning before choice," Journal of Economic Theory, Elsevier, vol. 180(C), pages 383-437.
    4. Marcoul, Philippe & Weninger, Quinn, 2008. "Search and active learning with correlated information: Empirical evidence from mid-Atlantic clam fishermen," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1921-1948, June.
    5. Marcel Preuss, 2023. "Search, learning, and tracking," RAND Journal of Economics, RAND Corporation, vol. 54(1), pages 54-82, March.
    6. Greminger, Rafael, 2019. "Optimal Search and Awareness Expansion," Other publications TiSEM ac47e6ff-42a4-4d70-addd-6, Tilburg University, School of Economics and Management.
    7. Yizhaq Minchuk & Aner Sela, 2018. "Asymmetric sequential search under incomplete information," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(2), pages 315-325, June.
    8. Daria Dzyabura & John R. Hauser, 2019. "Recommending Products When Consumers Learn Their Preference Weights," Marketing Science, INFORMS, vol. 38(3), pages 417-441, May.
    9. Dellaert, B.G.C. & Baker, T. & Johnson, E.J., 2017. "Partitioning Sorted Sets: Overcoming Choice Overload while Maintaining Decision Quality," ERIM Report Series Research in Management 18-2, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Rafael P. Greminger, 2019. "Optimal Search and Discovery," Papers 1911.07773, arXiv.org, revised Feb 2022.
    11. Sanjiv Erat & Stylianos Kavadias, 2008. "Sequential Testing of Product Designs: Implications for Learning," Management Science, INFORMS, vol. 54(5), pages 956-968, May.
    12. Ashish Agarwal & Tridas Mukhopadhyay, 2016. "The Impact of Competing Ads on Click Performance in Sponsored Search," Information Systems Research, INFORMS, vol. 27(3), pages 538-557.
    13. 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.
    14. Gerald Häubl & Benedict G. C. Dellaert & Bas Donkers, 2010. "Tunnel Vision: Local Behavioral Influences on Consumer Decisions in Product Search," Marketing Science, INFORMS, vol. 29(3), pages 438-455, 05-06.
    15. Klaus Adam, 2001. "Competitive Prices in Markets with Search and Information Frictions," CSEF Working Papers 55, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    16. Andrew Y. Chen, 2021. "The Limits of p‐Hacking: Some Thought Experiments," Journal of Finance, American Finance Association, vol. 76(5), pages 2447-2480, October.
    17. Rafael P. Greminger, 2022. "Optimal Search and Discovery," Management Science, INFORMS, vol. 68(5), pages 3904-3924, May.
    18. Yuxin Chen & Song Yao, 2017. "Sequential Search with Refinement: Model and Application with Click-Stream Data," Management Science, INFORMS, vol. 63(12), pages 4345-4365, December.
    19. Greminger, Rafael, 2019. "Optimal Search and Awareness Expansion," Discussion Paper 2019-034, Tilburg University, Center for Economic Research.
    20. 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.
    21. 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.
    22. Charles Hodgson & Gregory Lewis, 2020. "You Can Lead a Horse to Water: Spatial Learning and Path Dependence in Consumer Search," Cowles Foundation Discussion Papers 2246, Cowles Foundation for Research in Economics, Yale University.
    23. Fan, Ying & Fu, Yuqi & Yang, Zan & Chen, Ming, 2023. "Search Frictions in Rental Markets: Evidence from Urban China," Working Paper Series 23/11, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    24. Akiko Maruyama, 2013. "Learning about one's own type: a search model with two-sided uncertainty," GRIPS Discussion Papers 12-24, National Graduate Institute for Policy Studies.

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    More about this item

    Keywords

    LEARNING ; UNCERTAINTY ; RISK;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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