IDEAS home Printed from https://ideas.repec.org/a/aea/aejmic/v6y2014i3p227-55.html

Optimal Project Selection Mechanisms

Author

Listed:
  • Talia Bar
  • Sidartha Gordon

Abstract

We study mechanisms for selecting up to m out of n projects. Project managers' private information on quality is elicited through transfers. Under limited liability, the optimal mechanism selects projects that maximize some function of the project's observable and reported characteristics. When all reported qualities exceed their own project-specific thresholds, the selected set only depends on observable characteristics, not reported qualities. Each threshold is related to (i) the outside option level at which the cost and benefit of eliciting information on the project cancel out and (ii) the optimal value of selecting one among infinitely many ex ante identical projects.

Suggested Citation

  • Talia Bar & Sidartha Gordon, 2014. "Optimal Project Selection Mechanisms," American Economic Journal: Microeconomics, American Economic Association, vol. 6(3), pages 227-255, August.
  • Handle: RePEc:aea:aejmic:v:6:y:2014:i:3:p:227-55
    Note: DOI: 10.1257/mic.6.3.227
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/mic.6.3.227
    Download Restriction: no

    File URL: http://www.aeaweb.org/aej/mic/app/0603/2011-0086_app.pdf
    Download Restriction: no

    File URL: http://www.aeaweb.org/aej/mic/ds/0603/2011-0086_ds.zip
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raphael Boleslavsky & Christopher Cotton, 2018. "Limited capacity in project selection: competition through evidence production," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(2), pages 385-421, March.
    2. Raphael Boleslavsky & Bruce Carlin & Christopher Cotton, 2021. "A Model of Challenge Funds: How Funding Availability and Selection Rigor Affect Project Quality," Working Paper 1470, Economics Department, Queen's University.

    More about this item

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:aea:aejmic:v:6:y:2014:i:3:p:227-55. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.