Advanced Search
MyIDEAS: Login

Aggregation of regional economic time series with different spatial correlation structures

Contents:

Author Info

  • Giuseppe Arbia

    ()

  • Marco Bee

    ()

  • Giuseppe Espa

    ()

Abstract

In this paper we compare the relative efficiency of different forecasting methods of space-time series when variables are spatially and temporally correlated. We consider the case of a space-time series aggregated into a single time series and the more general instance of a space-time series aggregated into a coarser spatial partition. We extend in various directions the outcomes found in the literature by including the consideration of larger datasets and the treatment of edge effects and of negative spatial correlation. The outcomes obtained provide operational suggestions on how to choose between alternative forecasting methods in empirical circumstances.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.unitn.it/files/20_07_arbia.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Department of Economics, University of Trento, Italia in its series Department of Economics Working Papers with number 0720.

as in new window
Length:
Date of creation: 2007
Date of revision:
Handle: RePEc:trn:utwpde:0720

Contact details of provider:
Postal: Via Inama 5, 38100 Trento
Phone: +39-461-882201
Fax: +39-461-882222
Web page: http://www.unitn.it/deco
More information through EDIRC

Related research

Keywords: Spatial correlation; Aggregation; Forecast efficiency; Space–time models; Edge effects; Negative spatial correlation.;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Marco Bee & Diego GIuliani & Giuseppe Espa, 2013. "Approximate Maximum Likelihood Estimation of the Autologistic Model," DEM Discussion Papers 2013/12, Department of Economics and Management.
  2. Schanne, Norbert & Wapler, Rüdiger & Weyh, Antje, 2008. "Regional unemployment forecasts with spatial interdependencies," IAB Discussion Paper 200828, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:trn:utwpde:0720. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Luciano Andreozzi).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.