IDEAS home Printed from https://ideas.repec.org/p/cwl/cwldpp/743.html
   My bibliography  Save this paper

Do We Reject Too Often? Small Sample Bias in Tests of Rational Expectations

Author

Listed:
  • N. Gregory Mankiw

    (Harvard University)

  • Matthew D. Shapiro

Abstract

We examine the small sample properties of tests of rational expectations models. We show using Monte Carlo experiments that these tests can be extremely biased toward rejection for sample sizes typical in applied research. These biases are important when the time series examined are highly autoregressive. We also show that these tests are even more biased with detrended data. We present correct small sample critical values for our canonical problem.

Suggested Citation

  • N. Gregory Mankiw & Matthew D. Shapiro, 1985. "Do We Reject Too Often? Small Sample Bias in Tests of Rational Expectations," Cowles Foundation Discussion Papers 743, Cowles Foundation for Research in Economics, Yale University.
    • Handle: RePEc:cwl:cwldpp:743
    Note: CFP 637.
    as

    Download full text from publisher

    File URL: https://cowles.yale.edu/sites/default/files/files/pub/d07/d0743.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Smith, David C., 1999. "Finite sample properties of tests of the Epstein-Zin asset pricing model," Journal of Econometrics, Elsevier, vol. 93(1), pages 113-148, November.
    2. N. Gregory Mankiw & David Romer & Matthew D. Shapiro, 1991. "Stock Market Forecastability and Volatility: A Statistical Appraisal," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 455-477.
    3. Leonardo Bartolini & Gordon M. Bodnar, 1996. "Are exchange rates excessively volatile? And what does \\"excessively volatile\\" mean, anyway?," Research Paper 9601, Federal Reserve Bank of New York.

    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:cwl:cwldpp:743. 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: Brittany Ladd (email available below). General contact details of provider: https://edirc.repec.org/data/cowleus.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.