Forecasting non-stationary economic time series / Michael P. Clements and David F. Hendry.

By:

Clements, Michael P

Contributor(s):

Hendry, David F

Material type: Text

TextSeries: Zeuthen lecture book seriesPublication details: Cambridge, MA : MIT Press, 1999.Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

0585111928
9780585111926
0262531895
9780262531894
026227048X
9780262270489

Subject(s): Genre/Form:

Additional physical formats: Print version:: Forecasting non-stationary economic time series.DDC classification:

330/.01/51955 21

LOC classification:

HA30.3 .C58 1999eb

Online resources:

Click here to access online

Contents:

1. Economic Forecasting -- 2. Forecast Failure -- 3. Deterministic Shifts -- 4. Other Sources -- 5. Differencing -- 6. Intercept Corrections -- 7. Modeling Consumers' Expenditure -- 8. A Small UK Money Model -- 9. Co-breaking -- 10. Modeling Shifts -- 11. A Wage-Price Model -- 12. Postscript.

Review: "In their second book on economic forecasting, Michael P. Clements and David F. 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). Finally, they present three applications to test the implications of their framework. 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."--Jacket.

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Includes bibliographical references and index.

"In their second book on economic forecasting, Michael P. Clements and David F. 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). Finally, they present three applications to test the implications of their framework. 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."--Jacket.