Handbook of Economic Forecasting - 1st Edition - ISBN: 9780444513953, 9780080460673

Handbook of Economic Forecasting, Volume 1

1st Edition

Editors: G. Elliott C. Granger A. Timmermann
Hardcover ISBN: 9780444513953
eBook ISBN: 9780080460673
Imprint: North Holland
Published Date: 30th May 2006
Page Count: 1070
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Table of Contents

Part 1. Forecasting methodology.

  1. Bayesian forecasting (J. Geweke, C. Whiteman).
  2. Forecasting and decision theory (C.W.J.Granger, M.J. Machina).
  3. Forecast evaluation (K.D. West).
  4. Forecast combinations (A. Timmermann).
  5. Predictive density evaluation (V. Corradi, N.R. Swanson).
    Part 2. Forecasting models.
  6. Forecasting with VARMA models (H. Lutkepohl).
  7. Forecasting with unobserved components time series models (A. Harvey).
  8. Forecasting economic variables with nonlinear models (T. Terasvirta).
  9. Approximate nonlinear forecasting models (H. White).
    Part 3. Forecasting with different data structures.
  10. Forecasting with many predictors (J.H. Stock, M.W. Watson).
  11. Forecasting with trending data (G. Elliott).
  12. Forecasting with breaks (M.P. Clements, D.F. Hendry).
  13. Forecasting seasonal time series (E. Ghysels, D.R. Osborn, P.M.M. Rodrigues).
  14. Survey expectations (M.H. Pesaran, M. Weale).
    Part 4. Applications of forecasting methods. 15.Volatility and correlation forecasting (T.G. Andersen, T. Bollerslev, P.F. Christoffersen, F.X. Diebold).
  15. Leading Indicators (M. Marcellino).
  16. Forecasting with real-time macroeconomic data (D. Croushore).
  17. Forecasting in marketing (P.H. Franses).

Description

Part 1. Forecasting methodology.

  1. Bayesian forecasting (J. Geweke, C. Whiteman).
  2. Forecasting and decision theory (C.W.J.Granger, M.J. Machina).
  3. Forecast evaluation (K.D. West).
  4. Forecast combinations (A. Timmermann).
  5. Predictive density evaluation (V. Corradi, N.R. Swanson).
    Part 2. Forecasting models.
  6. Forecasting with VARMA models (H. Lutkepohl).
  7. Forecasting with unobserved components time series models (A. Harvey).
  8. Forecasting economic variables with nonlinear models (T. Terasvirta).
  9. Approximate nonlinear forecasting models (H. White).
    Part 3. Forecasting with different data structures.
  10. Forecasting with many predictors (J.H. Stock, M.W. Watson).
  11. Forecasting with trending data (G. Elliott).
  12. Forecasting with breaks (M.P. Clements, D.F. Hendry).
  13. Forecasting seasonal time series (E. Ghysels, D.R. Osborn, P.M.M. Rodrigues).
  14. Survey expectations (M.H. Pesaran, M. Weale).
    Part 4. Applications of forecasting methods. 15.Volatility and correlation forecasting (T.G. Andersen, T. Bollerslev, P.F. Christoffersen, F.X. Diebold).
  15. Leading Indicators (M. Marcellino).
  16. Forecasting with real-time macroeconomic data (D. Croushore).
  17. Forecasting in marketing (P.H. Franses).

Key Features

Addresses economic forecasting methodology, forecasting models, forecasting with different data structures, and the applications of forecasting methods Insights within this volume can be applied to economics, finance and marketing disciplines

Readership

economists


Details

No. of pages:
1070
Language:
English
Copyright:
© North Holland 2006
Published:
Imprint:
North Holland
eBook ISBN:
9780080460673
Hardcover ISBN:
9780444513953

About the Editors

G. Elliott Editor

Affiliations and Expertise

University of California at San Diego, La Jolla, CA, USA

C. Granger Editor

Affiliations and Expertise

University of California, San Diego, La Jolla, CA, USA

A. Timmermann Editor

Affiliations and Expertise

University of California at San Diego, La Jolla, CA, USA