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Paperback | $30.00 Text | £20.95 | ISBN: 9780262531894 | 314 pp. | 6.25 x 9.25 in | January 2001
 

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Forecasting Non-Stationary Economic Time Series

Overview

In their second book on economic forecasting, Michael Clements and David Hendry ask why some practices seem to work empirically despite a lack of formal support from theory. After reviewing the conventional approach to economic forecasting, they look at the implications for causal modeling, present a taxonomy of forecast errors, and delineate the sources of forecast failure. They show that forecast-period shifts in deterministic factors—interacting with model misspecification, collinearity, and inconsistent estimation—are the dominant source of systematic failure. They then consider various approaches for avoiding systematic forecasting errors, including intercept corrections, differencing, co-breaking, and modeling regime shifts; they emphasize the distinction between equilibrium correction (based on cointegration) and error correction (automatically offsetting past errors). Their results on forecasting have wider implications for the conduct of empirical econometric research, model formulation, the testing of economic hypotheses, and model-based policy analyses.

About the Authors

Michael P. Clements is Research Fellow in Economics at the University of Warwick, UK.

David F. Hendry is the Leverhulme Personal Research Professor of Economics and Fellow of Nuffield College at Oxford University, UK.