IDEAS home Printed from https://ideas.repec.org/p/jrp/jrpwrp/2013-030.html
   My bibliography  Save this paper

One Swallow Doesn't Make a Summer - A Note

Author

Listed:
  • Mitesh Kataria

    () (Max Planck Institute of Economics, Strategic Interaction Group,Jena)

Abstract

Maniadis et al. (2013) present a theoretical framework that aims at providing insights into the mechanics of proper inference. They suggest that a decision about whether to call an experimental finding noteworthy, or deserving of great attention, should be based on the calculated post-study probability. Although I in large agree with most points in Maniadis et al. (2013), this note raises some important caveats.

Suggested Citation

  • Mitesh Kataria, 2013. "One Swallow Doesn't Make a Summer - A Note," Jena Economic Research Papers 2013-030, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2013-030
    as

    Download full text from publisher

    File URL: http://pubdb.wiwi.uni-jena.de/pdf/wp_2013_030.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. McCloskey, Donald N, 1985. "The Loss Function Has Been Mislaid: The Rhetoric of Significance Tests," American Economic Review, American Economic Association, vol. 75(2), pages 201-205, May.
    2. Zacharias Maniadis & Fabio Tufano & John A. List, 2014. "One Swallow Doesn't Make a Summer: New Evidence on Anchoring Effects," American Economic Review, American Economic Association, vol. 104(1), pages 277-290, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Bayes' theorem; Methodology;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    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:jrp:jrpwrp:2013-030. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Markus Pasche). General contact details of provider: http://www.jenecon.de .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.