Forecasting : an essential introduction /: an essential introduction. ([2019])
- Record Type:
- Book
- Title:
- Forecasting : an essential introduction /: an essential introduction. ([2019])
- Main Title:
- Forecasting : an essential introduction
- Further Information:
- Note: Jennifer L. Castle, Michael P. Clements, David F. Hendry.
- Authors:
- Castle, Jennifer, 1979-
Clements, Michael P
Hendry, David F - Contents:
- Preface; Acknowledgments; Chapter 1. Why do we need forecasts?; What is a forecast?; Why do we need forecasts?; A brief history of forecasting; Why are forecasts uncertain?; A motoring analogy; Beware false forecasting; Time, models and the future; The road ahead-literally; Chapter 2. How do we make forecasts?; A galaxy of terms, and ways, for 'seeing into the future'; Making forecasts; Forecasting her journey time; Forecasting in 'normal' times; More uncertainty; Illustrating forecast uncertainty; Adapting to forecast failure; Updating forecasts as time goes by; Sources of information; Chapter 3. Where are we before we forecast? The motorist and the economist; Why are data subject to revision? And why might it matter?; Forecasting data revisions; Inaccurate data do matter; Chapter 4. How do we judge forecasts?; Forecasts are made to inform decisions; Standard forecast evaluation criteria; Everyone wins!; Unequal costs of positive and negative forecast errors; Chapter 5. How uncertain are our forecasts?; Modeling and forecasting uncertainty; Interval forecasts; 'Density' forecasts; Evaluating 'density' forecasts; Chapter 6. Are some real world events unpredictable?; Sudden unanticipated shifts: When the ground moves; Flocks of 'black swans'; Trends and their ilk Why does the type of trend matter?; Trends can cancel; Location shifts can also cancel; Chapter 7. Why do systematic forecast failures occur?; Some impressive forecast failures; Missing systematically; We don'tPreface; Acknowledgments; Chapter 1. Why do we need forecasts?; What is a forecast?; Why do we need forecasts?; A brief history of forecasting; Why are forecasts uncertain?; A motoring analogy; Beware false forecasting; Time, models and the future; The road ahead-literally; Chapter 2. How do we make forecasts?; A galaxy of terms, and ways, for 'seeing into the future'; Making forecasts; Forecasting her journey time; Forecasting in 'normal' times; More uncertainty; Illustrating forecast uncertainty; Adapting to forecast failure; Updating forecasts as time goes by; Sources of information; Chapter 3. Where are we before we forecast? The motorist and the economist; Why are data subject to revision? And why might it matter?; Forecasting data revisions; Inaccurate data do matter; Chapter 4. How do we judge forecasts?; Forecasts are made to inform decisions; Standard forecast evaluation criteria; Everyone wins!; Unequal costs of positive and negative forecast errors; Chapter 5. How uncertain are our forecasts?; Modeling and forecasting uncertainty; Interval forecasts; 'Density' forecasts; Evaluating 'density' forecasts; Chapter 6. Are some real world events unpredictable?; Sudden unanticipated shifts: When the ground moves; Flocks of 'black swans'; Trends and their ilk Why does the type of trend matter?; Trends can cancel; Location shifts can also cancel; Chapter 7. Why do systematic forecast failures occur?; Some impressive forecast failures; Missing systematically; We don't always fail!; What changes matter most for forecast failure?; Learning from past mistakes; What do forecast failures entail?; Chapter 8. Can we avoid systematic forecast failures?; The bus-stop game; Risks and benefits of 'causal' models; Adaptation as forecasts go wrong; Why does differencing work?; Robustification can help; Chapter 9. How do we automatically detect breaks?; Finding shifts by indicator saturation Chapter 10. Can we forecast breaks before they hit?; What would we need to know?; Forecasting the Great Recession; The 2004 Indian Ocean tsunami; Two information sets; Chapter 11. Can we improve forecasts during breaks?; Illustrating forecasting during a break; A possible role for non-linear models; Missing breaks, but adapting quickly; Switching between several 'regimes'; The costs of mis-forecasting hurricanes; Forecasting climate after a volcanic eruption; Chapter 12. Would more information be useful?; Pooling information; Are simple models best?; Pooling forecasts; ; Using other information; Should we use big or small forecasting models? If only we could forecast shifts!; Chapter 13. Can econometrics improve forecasting?; Models versus extrapolation (or rules-of-thumb); All models are not born equal; Are 'good' forecasting models useful for policy?; From forecasting to forediction; Federal Open Market Committee members' assessments; Chapter 14. Can you trust economic forecasts?; Is economic forecasting an oxymoron?; In need of better communication; Can you believe forecasts from 'experts'?; Chapter 15. Further reading; Subject index. … (more)
- Publisher Details:
- New Haven London : Yale University Press
- Publication Date:
- 2019
- Extent:
- 1 online resource (xiv, 213 pages), illustrations
- Subjects:
- 330.01/12
Economic forecasting
Prévision économique
BUSINESS & ECONOMICS -- Economics -- General
BUSINESS & ECONOMICS -- Reference
BUSINESS & ECONOMICS -- Forecasting
Economic forecasting - Languages:
- English
- ISBNs:
- 9780300248241
0300248245 - Related ISBNs:
- 9780300244663
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed April 11, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.776379
- Ingest File:
- 19_025.xml