Unpredictability in economic analysis, econometric modeling and forecasting
David Hendry and
Grayham Mizon
Journal of Econometrics, 2014, vol. 182, issue 1, 186-195
Abstract:
Unpredictability arises from intrinsic stochastic variation, unexpected instances of outliers, and unanticipated extrinsic shifts of distributions. We analyze their properties, relationships, and different effects on the three arenas in the title, which suggests considering three associated information sets. The implications of unanticipated shifts for forecasting, economic analyses of efficient markets, conditional expectations, and inter-temporal derivations are described. The potential success of general-to-specific model selection in tackling location shifts by impulse-indicator saturation is contrasted with the major difficulties confronting forecasting.
Keywords: Unpredictability; ‘Black Swans’; Distributional shifts; Forecast failure; Model selection; Conditional expectations (search for similar items in EconPapers)
JEL-codes: C22 C51 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (37)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304407614000761
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Unpredictability in Economic Analysis, Econometric Modeling and Forecasting (2013) 
Working Paper: Unpredictability in Economic Analyis, Econometric Modelling and Forecasting (2011) 
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:eee:econom:v:182:y:2014:i:1:p:186-195
DOI: 10.1016/j.jeconom.2014.04.017
Access Statistics for this article
Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson
More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().