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Keyword: structural time series model;
6 results found.
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Fabio Busetti and Andrew C Harvey
The paper considers tests for the presence of a random walk component in a stationary or trend stationary time series and extends them to series which contain structural breaks. The locally best invariant (LBI) test is d...Read more...
Andrew C Harvey, Siem Jan Koopman and J Penzer
Many series are subject to data irregularities such as missing values, outliers, structural breaks and irregular spacing. Data can also be messy, and hence difficult to handle by standard procedures, when they are intrin...Read more...
Andrew C Harvey and Siem Jan Koopman
Much of economic analysis presupposes that certain economic time series can be decomposed into trends and cycles. Structural time series models are explicitly set up in terms of such unobserved components. This paper set...Read more...
Andrew C Harvey, Siem Jan Koopman and Marco Riani
A number of important economic time series are recorded on a particular day every week. Seasonal adjustment of such series is difficult because the number of weeks varies between 52 and 53 and the position of the recordi...Read more...
A.C. Atkinson and N.G. Shephard
Deletion diagnostics are developed for structural time series models. These show the effect of the deletion of individual observations on residuals and on the estimates of regression parameters. The methods are extended ...Read more...
Andrew C Harvey and Albert Jaeger
The stylized facts of macroeconomic time series can be presented by fitting structural time series models. Within this framework, we analyze the consequences of the widely used detrending technique popularized by Hodrick...Read more...