Forecasting Series Containing Offsetting Breaks: Old School And New School Methods Of Forecasting Transnational Terrorism
Transnational terrorism data are difficult to forecast because they contain an unknown number of structural breaks of unknown functional form. The rise of religious fundamentalism, the demise of the Soviet Union, and the rise of al Qaeda have changed the nature of transnational terrorism. 'Old School' forecasting methods simply smooth or difference the data. 'New School' methods use estimated break dates to control for regime shifts when forecasting. We compare the various forecasting methods using a Monte Carlo study with data containing different types of breaks. The study's results are used to forecast various types of transnational terrorist incidents.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 20 (2009)
Issue (Month): 6 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/GDPE20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/GDPE20|
When requesting a correction, please mention this item's handle: RePEc:taf:defpea:v:20:y:2009:i:6:p:441-463. 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: (Michael McNulty)
If references are entirely missing, you can add them using this form.