This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Optimal combination of density forecasts

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Stephen Hall ()
James Mitchell ()

Additional information is available for the following registered author(s):

Abstract

This paper brings together two important but hitherto largely unrelated areas of the forecasting literature, density forecasting and forecast combination. It proposes a simple data-driven approach to direct combination of density forecasts using optimal weights.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.niesr.ac.uk/pubs/dps/Dp248.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by National Institute of Economic and Social Research in its series NIESR Discussion Papers with number 248.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: Nov 2004
Date of revision:
Handle: RePEc:nsr:niesrd:248

Contact details of provider:
Postal: 2 Dean Trench Street Smith Square London SW1P 3HE
Web page: http://www.niesr.ac.uk

For technical questions regarding this item, or to correct its listing, contact: (Communications Manager).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? About five million pdf files are downloaded through RePEc every year.

This page was last updated on 2008-11-16.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.