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Forecasting non-stationary economic time series

By:

Clements M.P; Hendry D.F

Material type: Text

TextPublication details: 1999 MIT Press EnglandDescription: xxviii,362 p. 24 cm ; Hard BoundISBN:

978-0262032724

Subject(s):

Economics Time-series analysis Economic forecasting--Statistical methods

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.

Summary: 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	330.0151955 CLE (Browse shelf(Opens below))	Available		21529

$35.00

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.

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.

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