Economic Forecasting: Some Lessons from Recent Research
David Hendry,
Michael Clements,
Department of Economics and
University of Warwick
No 78, Economics Series Working Papers from University of Oxford, Department of Economics
Abstract:
This paper describes some recent advances and contributions to our understanding of economic forecasting. The framework we develop helps explain the findings of forecasting competitions and the prevalence of forecast failure. It constitutes a general theoretical background against which recent results can be judged. We compare this framework to a previous formulation, which was silent on the very issues of most concern to the forecaster. We describe a number of aspects which it illuminates, and draw out the implications for model selection. Finally, we discuss the areas where research remains needed to clarify empirical findings which lack theoretical explanations.
Keywords: forecasting; non-stationarity; structural breaks; co-breaking; pooling; model selection (search for similar items in EconPapers)
JEL-codes: C1 C52 (search for similar items in EconPapers)
Date: 2001-10-01
References: Add references at CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
https://ora.ox.ac.uk/objects/uuid:0fcb6090-f078-441f-86cc-2a3dd1ac2305 (text/html)
Related works:
Journal Article: Economic forecasting: some lessons from recent research (2003) 
Working Paper: Economic Forecasting: Some Lessons from Recent Research (2002) 
Working Paper: Economic forecasting: some lessons from recent research (2001) 
Working Paper: Economic Forecasting: Some Lessons from Recent Research (2001) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oxf:wpaper:78
Access Statistics for this paper
More papers in Economics Series Working Papers from University of Oxford, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Anne Pouliquen ( this e-mail address is bad, please contact ).