Near-Rational Alternatives and the Empirical Evaluation of Real Business Cycle Models
This paper shows that if the consumers in a "standard" real business cycle (RBC) model are permitted to use near-rational decision rules -- that is, decision rules from which they suffer trivial utility losses -- then it is difficult to distinguish the standard model from several competing extensions on the basis of the models' implications for a small set of key time series statistics. Moreover, there exist near-rational alternatives to the standard model which reproduce exactly the values of these statistics in observed time series. These findings suggest that RBC researchers should examine much larger sets of second moments when evaluating the empirical performance of RBC models.
|Date of creation:||Dec 1993|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.tepper.cmu.edu/
|Order Information:||Web: http://student-3k.tepper.cmu.edu/gsiadoc/GSIA_WP.asp|
When requesting a correction, please mention this item's handle: RePEc:cmu:gsiawp:239. 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: (Steve Spear)
If references are entirely missing, you can add them using this form.