Abstract
After having considered the consequences of forecasting with estimated processes for contemporaneous aggregation in Chapter 5 and for temporal aggregation in Chapters 7 and 8 the two types of aggregation will be treated jointly in this chapter. In practice the two types of aggregation are often both present. For instance, the annual tax revenues of a country that consists of a number of states, is the sum of the monthly revenues in each state. Thus, the total figure is obtained by aggregating over time (temporally) and over regions (contemporaneously). In this chapter the particular type of temporal and contemporaneous aggregation is considered where all the disaggregate figures are simply added as in the foregoing example. This simplification is justified because it suffices to illustrate the pertinent problems. On the other hand, it helps to simplify some of the arguments.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1987 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Lütkepohl, H. (1987). Joint Temporal and Contemporaneous Aggregation. In: Forecasting Aggregated Vector ARMA Processes. Lecture Notes in Economics and Mathematical Systems, vol 284. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-61584-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-61584-9_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-17208-6
Online ISBN: 978-3-642-61584-9
eBook Packages: Springer Book Archive