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Optimal search with learning

Citations

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Cited by:

  1. Larson, C. Erik & Olson, Lars J. & Sharma, Sunil, 2001. "Optimal Inventory Policies when the Demand Distribution Is Not Known," Journal of Economic Theory, Elsevier, vol. 101(1), pages 281-300, November.
  2. 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.
  3. Juan Dubra, 2004. "Optimism and Overconfidence in Search," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(1), pages 198-218, January.
  4. Gershkov, Alex & Moldovanu, Benny, 2012. "Optimal search, learning and implementation," Journal of Economic Theory, Elsevier, vol. 147(3), pages 881-909.
  5. Dmitry Ryvkin & Danila Serra & James Tremewan, 2015. "I paid a bribe: Information Sharing and Extortionary Corruption," Working Papers wp2015_07_01, Department of Economics, Florida State University.
  6. Ben Casner, 2021. "Learning while shopping: an experimental investigation into the effect of learning on consumer search," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 238-273, March.
  7. Stuart Kauffman & Jose Lobo & William G. Macready, 1998. "Optimal Search on a Technology Landscape," Research in Economics 98-10-091e, Santa Fe Institute.
  8. Bikhchandani, Sushil & Segal, Uzi & Sharma, Sunil, 1992. "Stochastic dominance under Bayesian learning," Journal of Economic Theory, Elsevier, vol. 56(2), pages 352-377, April.
  9. Jhunjhunwala, Tanushree, 2021. "Searching to avoid regret: An experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 298-319.
  10. Thierry Magnac & Jean-Marc Robin, 1999. "Dynamic stochastic dominance in bandit decision problems," Theory and Decision, Springer, vol. 47(3), pages 267-295, December.
  11. 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.
  12. 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.
  13. Gershkov, Alex & Moldovanu, Benny, 2013. "Non-Bayesian optimal search and dynamic implementation," Economics Letters, Elsevier, vol. 118(1), pages 121-125.
  14. Julio J. Rotemberg, 2017. "Group Learning, Wage Dispersion and Non-stationary Offers," Economica, London School of Economics and Political Science, vol. 84(335), pages 365-392, July.
  15. Andreas I. Mueller & Johannes Spinnewijn & Giorgio Topa, 2021. "Job Seekers' Perceptions and Employment Prospects: Heterogeneity, Duration Dependence, and Bias," American Economic Review, American Economic Association, vol. 111(1), pages 324-363, January.
  16. Adam, Klaus, 2001. "Learning While Searching for the Best Alternative," Journal of Economic Theory, Elsevier, vol. 101(1), pages 252-280, November.
  17. 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.
  18. Kauffman, Stuart & Lobo, Jose & Macready, William G., 2000. "Optimal search on a technology landscape," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 141-166, October.
  19. Nishimura, Kiyohiko G. & Ozaki, Hiroyuki, 2004. "Search and Knightian uncertainty," Journal of Economic Theory, Elsevier, vol. 119(2), pages 299-333, December.
  20. Dubra, J., 1999. "Overconfidence in Search," Working Papers 99-10, C.V. Starr Center for Applied Economics, New York University.
  21. Fan, Ying & Fu, Yuqi & Yang, Zan & Chen, Ming, 2024. "Search frictions in rental markets: Evidence from urban China," China Economic Review, Elsevier, vol. 83(C).
  22. Bikhchandani, Sushil & Sharma, Sunil, 1996. "Optimal search with learning," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 333-359.
  23. Babur De los Santos & Ali Hortacsu & Matthijs R. Wildenbeest, 2012. "Search with Learning," Working Papers 2012-03, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
  24. 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.
  25. Elnaz Bajoori & Julia Wirtz, 2022. "Optimal delegated search with learning and nomonetary transfers," Bristol Economics Discussion Papers 22/768, School of Economics, University of Bristol, UK.
  26. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2019. "Modeling Consumer Footprints on Search Engines: An Interplay with Social Media," Management Science, INFORMS, vol. 65(3), pages 1363-1385, March.
  27. Greminger, Rafael, 2019. "Optimal Search and Awareness Expansion," Other publications TiSEM ac47e6ff-42a4-4d70-addd-6, Tilburg University, School of Economics and Management.
  28. Flores-Szwagrzak, Karol, 2022. "Learning by Convex Combination," Working Papers 16-2022, Copenhagen Business School, Department of Economics.
  29. Daria Dzyabura & John R. Hauser, 2019. "Recommending Products When Consumers Learn Their Preference Weights," Marketing Science, INFORMS, vol. 38(3), pages 417-441, May.
  30. Goecke, Henry & Luhan, Wolfgang J. & Roos, Michael W.M., 2013. "Rational inattentiveness in a forecasting experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 80-89.
  31. Rafael P. Greminger, 2022. "Optimal Search and Discovery," Management Science, INFORMS, vol. 68(5), pages 3904-3924, May.
  32. Greminger, Rafael, 2019. "Optimal Search and Awareness Expansion," Discussion Paper 2019-034, Tilburg University, Center for Economic Research.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. Sergei Koulayev, 2008. "Estimating search with learning," Working Papers 08-29, NET Institute, revised Oct 2008.
  39. Rafael P. Greminger, 2019. "Optimal Search and Discovery," Papers 1911.07773, arXiv.org, revised Feb 2022.
  40. 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.
  41. Ryvkin, Dmitry & Serra, Danila & Tremewan, James, 2017. "I paid a bribe: An experiment on information sharing and extortionary corruption," European Economic Review, Elsevier, vol. 94(C), pages 1-22.
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