EconPapers    
Economics at your fingertips  
 

A note on the Monte Carlo assessment of Impulse Saturation with fat tailed distribution

Carlos Santos ()
Additional contact information
Carlos Santos: Faculdade de Economia e Gestão - Universidade Católica Portuguesa - Porto

No 52008, Working Papers de Economia (Economics Working Papers) from Católica Porto Business School, Universidade Católica Portuguesa

Abstract: Monte Carlo evidence is provided as to the efficiency of the impulse saturation estimator in a location-scale model with heavy-tailed distributions. Comparisons show that the IS estimator is always more efficient than the OLS and can even outperform the Method of Moments estimator in some instances.

Keywords: nonnormality; impulse saturation; robust estimation (search for similar items in EconPapers)
JEL-codes: C13 C16 (search for similar items in EconPapers)
Pages: 7 pages
Date: 2008-09
New Economics Papers: this item is included in nep-ecm
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.feg.porto.ucp.pt/docentes/repec/WP/0520 ... rlo%20assessment.pdf First version (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www.feg.porto.ucp.pt:80 (A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cap:wpaper:052008

Access Statistics for this paper

More papers in Working Papers de Economia (Economics Working Papers) from Católica Porto Business School, Universidade Católica Portuguesa Contact information at EDIRC.
Bibliographic data for series maintained by Ricardo Goncalves ().

 
Page updated 2025-03-24
Handle: RePEc:cap:wpaper:052008