A Companion to Economic Forecasting
April 2008, Wiley-Blackwell
1. An Overview of Economic Forecasting: Michael P. Clements and David H. Hendry.
2. Predictable Uncertainty in Economic Forecasting: Neil R. Ericsson.
3. Density Forecasting: A Survey: Anthony S. Tay and Kenneth F. Wallis.
4. Statistical Approaches to Modelling and Forecasting Time Series: Diego J. Pedregal and Peter C. Young.
5. Forecasting with Structural Time-Series Models: Tommaso Proietti.
6. Judgemental Forecasting: Dilek Önkal-Atay, Mary E. Thomson and Andrew C. Pollock.
7. Forecasting for Policy: Adrian R. Pagan and John Robertson.
8. Forecasting Cointegrated VARMA Processes: Helmut Lütkepohl.
9. Multi-Step Forecasting: Raj Bhansali.
10. The Rationality and Efficiency of Individuals’ Forecasts: Herman O. Stekler.
11. Decision-Theoretic Methods for Forecast Evaluation: M. Hashem Pesaran and Spyros Skouros.
12. Forecast Combination and Encompassing: Paul Newbold and David I. Harvey.
13. Testing Forecast Accuracy: Roberto S. Mariano.
14. Inference About Predictive Ability: Michael W. McCracken and Kenneth D. West.
15. Forecasting Competitions: Their Role in Improving Forecasting Practice and Research: Robert Fildes and Keith Ord.
16. Empirical Comparisons of Inflation Models' Forecast Accuracy: Øyvind Eitrheim, Tore Anders Husebø, and Ragnar Nymoen.
17. The Forecasting Performance of the OECD Composite Leading Indicators for France, Germany, Italy, and the UK: Gonzalo Camba-Mendez, George Kapetanios, Martin R. Weale and Richard J. Smith.
18. Unit Root Versus Deterministic Representations of Seasonality for Forecasting: Denise R. Osborn.
19. Forecasting with Periodic Autoregressive Time Series Models: Philip Hans Franses and Richard Paap.
20. Non-Linear Models and Forecasting: Ruey S. Tsay.
21. Forecasting with Smooth Transition Autoregressive Models: Stefan Lundbergh and Timo Teräsvirta.
22. Forecasting Financial Variables: Terence C. Mills.
23. Explaining Forecast Failure in Macroeconomics: Michael P. Clements and David F. Hendry.
David F. Hendry, Professor of Economics at Oxford University, is a past President and Honorary Vice-President of the Royal Economic Society, Fellow of the British Academy and Econometric Society, and a Foreign Honorary Member of both the American Academy of Arts and Sciences and the American Economic Association. He has published more than twenty books, as well as over 150 articles and papers on time-series econometrics, econometric modeling, economic forecasting, the history of econometrics, Monte Carlo methods, econometric computing and empirical applications.
- Compares and contrasts the leading approaches and modeling strategies
- Presents a unique survey of forecasting in a single volume
- Incorporates the latest technological advances
- Places contributions to the field in context and illustrates their commonalities
"Economic forecasting methods, models, applications, evaluation, and diagnostics, all in one encompassing volume by leaders in the field. This collection of lucid chapters defines where economic forecasting is today. An invaluable addition to the library of anyone working with economic data." Charles Nelson, University of Washington