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Sequential Search With Adaptive Intensity

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  • Joosung Lee
  • Daniel Li

Abstract

This article studies sequential search problems, where a searcher chooses search intensity adaptively in each period. We fully characterize the optimal search rule and value, decomposing the intertemporal change of search intensity into the fall‐back value effect and the deadline effect. We show that the optimal search intensity (value) is submodular (supermodular) in fall‐back value and time. It follows that the fall‐back value effect increases when the deadline approaches, and the deadline effect decreases when a searcher's fall‐back value gets higher. We further investigate the connection between search with full and no recall to quantify the value of recall.

Suggested Citation

  • Joosung Lee & Daniel Li, 2022. "Sequential Search With Adaptive Intensity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(2), pages 803-829, May.
    • Handle: RePEc:wly:iecrev:v:63:y:2022:i:2:p:803-829
    DOI: 10.1111/iere.12551
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    References listed on IDEAS

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    1. Benhabib, Jess & Bull, Clive, 1983. "Job Search: The Choice of Intensity," Journal of Political Economy, University of Chicago Press, vol. 91(5), pages 747-764, October.
    2. Lippman, Steven A. & McCall, John J., 1976. "Job search in a dynamic economy," Journal of Economic Theory, Elsevier, vol. 12(3), pages 365-390, June.
    3. Jia, Hao & Skaperdas, Stergios & Vaidya, Samarth, 2013. "Contest functions: Theoretical foundations and issues in estimation," International Journal of Industrial Organization, Elsevier, vol. 31(3), pages 211-222.
    4. Benkert, Jean-Michel & Letina, Igor & Nöldeke, Georg, 2018. "Optimal search from multiple distributions with infinite horizon," Economics Letters, Elsevier, vol. 164(C), pages 15-18.
    5. Taylor, Curtis R, 1995. "Digging for Golden Carrots: An Analysis of Research Tournaments," American Economic Review, American Economic Association, vol. 85(4), pages 872-890, September.
    6. Ying Chen & Hulya Eraslan, 2018. "Learning While Setting Precedents," Koç University-TUSIAD Economic Research Forum Working Papers 1810, Koc University-TUSIAD Economic Research Forum.
    7. Poblete, Joaquín & Spulber, Daniel, 2017. "Managing innovation: Optimal incentive contracts for delegated R&D with double moral hazard," European Economic Review, Elsevier, vol. 95(C), pages 38-61.
    8. Dye, Ronald A, 1993. "Auditing Standards, Legal Liability, and Auditor Wealth," Journal of Political Economy, University of Chicago Press, vol. 101(5), pages 887-914, October.
    9. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    10. Simunic, Da, 1980. "The Pricing Of Audit Services - Theory And Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 161-190.
    11. Vishwanath, Tara, 1992. "Parallel Search for the Best Alternative," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 2(4), pages 495-507, October.
    12. Ying Chen & Hülya Eraslan, 2020. "Learning while setting precedents," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1222-1252, December.
    13. Peter B. Morgan, 1983. "Search and Optimal Sample Sizes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 659-675.
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