On the power of direct tests for rational expectations against the alternative of constant gain learning
In this paper we study the power of direct tests for rational expectations against the constant gain learning alternative. The investigation is by means of a Monte Carlo study. The tests considered use quantitative expectations data and qualitative survey data that has been quantified. The main finding is that the power of tests for rational expectations against constant gain learning may be very small, making it impossible to distinguish the hypotheses.
Volume (Year): 41 (2010)
Issue (Month): 6 ()
|Note:||Support from the EU Commission through MRTN-CT-2006-034270 COMISEF is gratefully acknowledged. The authors would like to thank two anonymous referees for comments and suggestions which helped to improve this paper.|
|Contact details of provider:|| Postal: 00-919 Warszawa ul. Świętokrzyska 11/21|
Phone: (0-22) 653 10 00
Fax: (0-22) 620 85 18
Web page: http://www.bankikredyt.nbp.pl/menu_en.aspx
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Smith, Jeremy & McAleer, Michael, 1995.
"Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 10(2), pages 165-185, April-Jun.
- McAleer, M. & Smith, J., 1990. "Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing," Papers 219, Australian National University - Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:nbp:nbpbik:v:41:y:2010:i:6:p:71-84. 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: (Sylwia Roszkowska)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.