IDEAS home Printed from https://ideas.repec.org/p/pri/econom/2021-33.html
   My bibliography  Save this paper

Retrospective Search: Exploration and Ambition on Uncharted Terrain

Author

Listed:
  • Can Urgun

    (Princeton University)

  • Leeat Yariv

    (Princeton University, CEPR, NBER)

Abstract

We study a model of retrospective search in which an agent—a researcher, an online shopper, or a politician—tracks the value of a product. Discoveries beget discoveries and their observations are correlated over time, which we model using a Brownian motion. The agent, a standard exponential discounter, decides the breadth and length of search. We fully characterize the optimal search policy. The optimal search scope is U-shaped, with the agent searching most ambitiously when approaching a breakthrough or when nearing search termination. A drawdown stopping boundary is optimal, where the agent ceases search whenever current observations fall a constant amount below the maximal achieved alternative. We also show special features that emerge from contracting with a retrospective searcher.

Suggested Citation

  • Can Urgun & Leeat Yariv, 2021. "Retrospective Search: Exploration and Ambition on Uncharted Terrain," Working Papers 2021-33, Princeton University. Economics Department..
  • Handle: RePEc:pri:econom:2021-33
    as

    Download full text from publisher

    File URL: https://scholar.princeton.edu/sites/default/files/07292021-retrospectivesearch.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gustavo Manso, 2011. "Motivating Innovation," Journal of Finance, American Finance Association, vol. 66(5), pages 1823-1860, October.
    2. Philippe Aghion & Jean Tirole, 1994. "The Management of Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 1185-1209.
    3. Jovanovic, Boyan & Rob, Rafael, 1990. "Long Waves and Short Waves: Growth through Intensive and Extensive Search," Econometrica, Econometric Society, vol. 58(6), pages 1391-1409, November.
    4. Miller, Robert A, 1984. "Job Matching and Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 92(6), pages 1086-1120, December.
    5. Giuseppe Moscarini & Lones Smith, 2001. "The Optimal Level of Experimentation," Econometrica, Econometric Society, vol. 69(6), pages 1629-1644, November.
    6. Umberto Garfagnini & Bruno Strulovici, 2016. "Social Experimentation with Interdependent and Expanding Technologies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1579-1613.
    7. Steven Callander & Niko Matouschek, 2019. "The Risk of Failure: Trial and Error Learning and Long-Run Performance," American Economic Journal: Microeconomics, American Economic Association, vol. 11(1), pages 44-78, February.
    8. Steven Callander, 2011. "Searching and Learning by Trial and Error," American Economic Review, American Economic Association, vol. 101(6), pages 2277-2308, October.
    9. Ran Kivetz & Oleg Urminsky & Yuhuang Zheng, 2006. "The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention," Natural Field Experiments 00658, The Field Experiments Website.
    10. Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, April.
    11. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    12. Pissarides, Christopher A, 1984. "Search Intensity, Job Advertising, and Efficiency," Journal of Labor Economics, University of Chicago Press, vol. 2(1), pages 128-143, January.
    13. Olszewski, Wojciech & Weber, Richard, 2015. "A more general Pandora rule?," Journal of Economic Theory, Elsevier, vol. 160(C), pages 429-437.
    14. Samuel S. Kortum, 1997. "Research, Patenting, and Technological Change," Econometrica, Econometric Society, vol. 65(6), pages 1389-1420, November.
    15. Can Urgun & Leeat Yariv, 2021. "Constrained Retrospective Search," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 549-553, May.
    16. Marina Halac & Navin Kartik & Qingmin Liu, 2016. "Optimal Contracts for Experimentation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(3), pages 1040-1091.
    17. Marie Thursby & Richard Jensen, 2001. "Proofs and Prototypes for Sale: The Licensing of University Inventions," American Economic Review, American Economic Association, vol. 91(1), pages 240-259, March.
    18. Goran Peskir, 2005. "Maximum process problems in optimal control theory," International Journal of Stochastic Analysis, Hindawi, vol. 2005, pages 1-12, January.
    19. Yingni Guo, 2016. "Dynamic Delegation of Experimentation," American Economic Review, American Economic Association, vol. 106(8), pages 1969-2008, August.
    20. Quan, Daniel C & Quigley, John M, 1991. "Price Formation and the Appraisal Function in Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 4(2), pages 127-146, June.
    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. Whitmeyer, Mark, 2023. "Submission costs in risk-taking contests," Games and Economic Behavior, Elsevier, vol. 142(C), pages 101-112.

    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. Yariv, Leeat & Urgun, Can, 2020. "Retrospective Search: Exploration and Ambition on Uncharted Terrain," CEPR Discussion Papers 15534, C.E.P.R. Discussion Papers.
    2. Cujean, Julien & Bustamante, Maria Cecilia & Frésard, Laurent, 2019. "Knowledge Cycles and Corporate Investment," CEPR Discussion Papers 14152, C.E.P.R. Discussion Papers.
    3. 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.
    4. Alessandro Spiganti, 2022. "Wealth Inequality and the Exploration of Novel Alternatives," Working Papers 2022:02, Department of Economics, University of Venice "Ca' Foscari".
    5. Okat, Deniz & Nash, John G.F., 2024. "Delegating trial and error," Journal of Economic Theory, Elsevier, vol. 217(C).
    6. Doruk Cetemen & Can Urgun & Leeat Yariv, 2023. "Collective Progress: Dynamics of Exit Waves," Journal of Political Economy, University of Chicago Press, vol. 131(9), pages 2402-2450.
    7. Giorgio Calcagnini & Germana Giombini & Paolo Liberati & Giuseppe Travaglini, 2019. "Technology transfer with search intensity and project advertising," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1529-1546, October.
    8. Patrick Kline & Neviana Petkova & Heidi Williams & Owen Zidar, 2019. "Who Profits from Patents? Rent-Sharing at Innovative Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1343-1404.
    9. Silveira, Rafael & Wright, Randall, 2010. "Search and the market for ideas," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1550-1573, July.
    10. Ewens, Michael & Nanda, Ramana & Rhodes-Kropf, Matthew, 2018. "Cost of experimentation and the evolution of venture capital," Journal of Financial Economics, Elsevier, vol. 128(3), pages 422-442.
    11. Florian Ederer & Gustavo Manso, 2013. "Is Pay for Performance Detrimental to Innovation?," Management Science, INFORMS, vol. 59(7), pages 1496-1513, July.
    12. Emeric Henry & Marco Loseto & Marco Ottaviani, 2022. "Regulation with Experimentation: Ex Ante Approval, Ex Post Withdrawal, and Liability," Management Science, INFORMS, vol. 68(7), pages 5330-5347, July.
    13. Sadler, Evan, 2021. "Dead ends," Journal of Economic Theory, Elsevier, vol. 191(C).
    14. Chia‐Hui Chen & Junichiro Ishida, 2018. "Dynamic performance evaluation with deadlines: The role of commitment," Journal of Industrial Economics, Wiley Blackwell, vol. 66(2), pages 377-422, June.
    15. Chia-Hui Chen & Junichiro Ishida, 2017. "Rewarding Mediocrity? Optimal Regulation of R&D Markets with Reputation Concerns," ISER Discussion Paper 0994, Institute of Social and Economic Research, Osaka University.
    16. T. Tony Ke & Zuo-Jun Max Shen & J. Miguel Villas-Boas, 2016. "Search for Information on Multiple Products," Management Science, INFORMS, vol. 62(12), pages 3576-3603, December.
    17. Chen, Chia-Hui & Ishida, Junichiro, 2018. "Hierarchical experimentation," Journal of Economic Theory, Elsevier, vol. 177(C), pages 365-404.
    18. Aubrey Clark & Giovanni Reggiani, 2021. "Contracts for acquiring information," Papers 2103.03911, arXiv.org.
    19. Erin L. Scott & Pian Shu & Roman M. Lubynsky, 2015. "Are “Better” Ideas More Likely to Succeed? An Empirical Analysis of Startup Evaluation," Harvard Business School Working Papers 16-013, Harvard Business School.
    20. Shi, Yukun & Zhu, Kairan, 2024. "Unraveling the impact of bank loan spread on corporate innovation: Evidence from China," Economic Modelling, Elsevier, vol. 130(C).

    More about this item

    Keywords

    Retrospective Search; Drawdown Stopping Boundary; Contracting;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D25 - Microeconomics - - Production and Organizations - - - Intertemporal Firm Choice: Investment, Capacity, and Financing
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:pri:econom:2021-33. 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: Bobray Bordelon (email available below). General contact details of provider: https://edirc.repec.org/data/deprius.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.