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Clements / Hendry

Forecasting Economic Time Series

Medium: Buch
ISBN: 978-0-521-63480-9
Verlag: Cambridge University Press
Erscheinungstermin: 20.02.2004
Lieferfrist: bis zu 10 Tage

This book provides a formal analysis of the models, procedures, and measures of economic forecasting with a view to improving forecasting practice. David Hendry and Michael Clements base the analyses on assumptions pertinent to the economies to be forecast, viz. a non-constant, evolving economic system, and econometric models whose form and structure are unknown a priori. The authors find that conclusions which can be established formally for constant-parameter stationary processes and correctly-specified models often do not hold when unrealistic assumptions are relaxed. Despite the difficulty of proceeding formally when models are mis-specified in unknown ways for non-stationary processes that are subject to structural breaks, Hendry and Clements show that significant insights can be gleaned. For example, a formal taxonomy of forecasting errors can be developed, the role of causal information clarified, intercept corrections re-established as a method for achieving robustness against forms of structural change, and measures of forecast accuracy re-interpreted.


Produkteigenschaften


  • Artikelnummer: 9780521634809
  • Medium: Buch
  • ISBN: 978-0-521-63480-9
  • Verlag: Cambridge University Press
  • Erscheinungstermin: 20.02.2004
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2004
  • Produktform: Kartoniert, Paperback
  • Gewicht: 635 g
  • Seiten: 392
  • Format (B x H x T): 152 x 229 x 23 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

1. An introduction to economic forecasting; 2. First principles; 3. Evaluating forecast accuracy; 4. Forecasting in univariate processes; 5. Monte Carlo techniques; 6. Forecasting in co-intergrated systems; 7. Forecasting with large-scale macro-econometric models; 8. A theory of intercept corrections: beyond mechanistic forecasts; 9. Forecasting using leading indicators; 10. Combining forecasts; 11. Multi-step estimation; 12. Parsimony; 13. Testing forecast accuracy; 14. Postscript.