The University of Southampton
University of Southampton Institutional Repository

Econometric modelling of time series with outlying observations

Econometric modelling of time series with outlying observations
Econometric modelling of time series with outlying observations
Economies are buffeted by natural shocks, wars, policy changes, and other unanticipated events. Observed data can be subject to substantial revisions. Consequently, a “correct” theory can manifest serious mis-specification if just fitted to data ignoring its time-series characteristics. Modelling U.S. expenditure on food, the simplest theory implementation fails to describe the evidence. Embedding that theory in a general framework with dynamics, outliers and structural breaks and using impulse-indicator saturation, the selected model performs well, despite commencing with more variables than observations (see Doornik, 2009b), producing useful robust forecasts. Although this illustration involves a simple theory, the implications are generic and apply to sophisticated theories
1941-1928
Hendry, David F.
9c76f1f4-5773-4a45-9778-6ea40af72958
Mizon, Grayham E.
2b8353b4-0af4-48db-b552-6867dc1f4583
Hendry, David F.
9c76f1f4-5773-4a45-9778-6ea40af72958
Mizon, Grayham E.
2b8353b4-0af4-48db-b552-6867dc1f4583

Hendry, David F. and Mizon, Grayham E. (2011) Econometric modelling of time series with outlying observations. Journal of Time Series Econometrics, 3 (1). (doi:10.2202/1941-1928.1100).

Record type: Article

Abstract

Economies are buffeted by natural shocks, wars, policy changes, and other unanticipated events. Observed data can be subject to substantial revisions. Consequently, a “correct” theory can manifest serious mis-specification if just fitted to data ignoring its time-series characteristics. Modelling U.S. expenditure on food, the simplest theory implementation fails to describe the evidence. Embedding that theory in a general framework with dynamics, outliers and structural breaks and using impulse-indicator saturation, the selected model performs well, despite commencing with more variables than observations (see Doornik, 2009b), producing useful robust forecasts. Although this illustration involves a simple theory, the implications are generic and apply to sophisticated theories

Text
MizonHendryFoodFn.pdf - Author's Original
Download (274kB)

More information

Published date: 2011

Identifiers

Local EPrints ID: 184439
URI: http://eprints.soton.ac.uk/id/eprint/184439
ISSN: 1941-1928
PURE UUID: ebaac63c-d5ca-488f-83eb-23cd02b4d226

Catalogue record

Date deposited: 09 May 2011 11:14
Last modified: 14 Mar 2024 03:08

Export record

Altmetrics

Contributors

Author: David F. Hendry
Author: Grayham E. Mizon

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×