OHB ECONOMIC FORECASTING OHBK C

1. Auflage 2016
ISBN: 978-0-19-539864-9
Verlag: ACADEMIC

Buch, Englisch, 744 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1547 g

Reihe: Oxford Handbooks

This Handbook provides up-to-date coverage of both new developments and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and provide authoritative yet accessible accounts of the key concepts, subject matter and techniques in a number of diverse but related areas. It covers the ways in which the availability of ever more plentiful data and computational power have been used in
forecasting, either in terms of the frequency of observations, the number of variables, or the use of multiple data vintages. Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained; the volume
provides explanations and critiques of these developments. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models, as well as models for handling data observed at mixed frequencies, high-frequency data, multiple data vintages, and methods for forecasting when there are structural breaks, and how breaks might be forecast.

Also covered are areas which are less commonly associated with economic forecasting, such as climate change, health economics, long-horizon growth forecasting, and political elections. Econometric forecasting has important contributions to make in these areas, as well as their developments informing the mainstream. In the early 21st century, climate change and the forecasting of health expenditures and population are topics of pressing importance.

Zielgruppe

Advanced undergraduates taking specialist courses in forecasting; Masters students; PhD students; academics in social sciences; professionals working in these areas in industry/finance/commerce; economists in governmental agencies; interested general readers. MSc/PhD econometrics modules in Departments of Economics, Statistics, Management & Business Schools

Autoren/Hrsg.

Clements

Clements, Michael P.

Hendry, David F.

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsprognose

Inhaltsverzeichnis

Introduction. Michael Clements and David Hendry
Part 1. Forecasting models and methods
1. VARs, cointegration and common cycle restrictions
Heather Anderson and Farshid Vahid
2. Dynamic factor models
James Stock and Mark Watson
3 Forecasting with non-linear models
Anders Kock and Timo Teräsvirta
4 Forecasting with DSGE models
Kai Christoffel , Günter Coenen and Anders Warne
5 Unobserved components
Siem Jan Koopman and Marius Ooms
6 Judgmental forecasting
Paul Goodwin, Dilek Önkal and Michael Lawrence
Part 2. Data issues
7 Nowcasting
Marta Ba?bura, Domenico Giannone and Lucrezia Reichlin
8 Forecasting with mixed-frequency data
Elena Andreou, Eric Ghysels and Andros Kourtellos
9 Forecasting with real-time data vintages
Dean Croushore
Part 3. Forecasting and Structural breaks
10 Forecasting and structural breaks
Michael Clements and David Hendry
11 Forecasting breaks and forecasting during breaks
Jennifer Castle, David Hendry, and Nicholas Fawcett
12 Forecast combination
Marco Aiolfi, Carlos Capistrán and Allan Timmermann
Part 4. Forecast evaluation
13 Multiple forecast model evaluation
Valentina Corradi and Walter Distaso
14 Testing for unconditional predictive ability
Todd Clark and Michael McCracken
15 Testing for conditional predictive ability
Raffaella Giacomini
16 Interpreting and Combining Heterogeneous Survey Forecasts
Charles Manski
17 Use and Evaluation of Panels of Forecasts
Antony Davies, Kajal Lahiri and Xuguang Sheng
Part 5. Financial forecasting
18 Forecasting Financial Time Series
Terence Mills
19 Volatility Forecasting Using High Frequency Data
Peter Hansen and Asger Lunde
Part 6. Special Interest Areas
20 Economic value of weather and climate Forecasts
Richard Katz and Jeff Lazo
21 Long-horizon Growth forecasting And Demography
Thomas Lindh
22 Energy Market forecasting
Derek Bunn and Nektaria Karakatsani
23 Models for Health Care
Andrew Jones
24 Political and election forecasting
Michael Lewis-Beck and Charles Tien
25 Marketing & sales
Philip-Hans Franses

Über Autor(innen)

Hendry, David F.
David F. Hendry is a Fellow of Nuffield College and Professor of Economics, University of Oxford (Chairman, 2001-2007). He was Knighted in 2009, and holds seven Honorary Doctorates. He is an Honorary Vice-President and past President, Royal Economic Society; Fellow, British Academy, Royal Society of Edinburgh, Econometric Society, and Journal of Econometrics; Foreign Honorary Member, American Economic Association and American Academy of Arts and Sciences; and an Honorary Fellow, International Institute of Forecasters. He is listed by the ISI as one of the world's 200 most cited
economists, and has published more than 200 papers and 14 books on econometric methods, theory, modelling, and history; numerical techniques and computing; empirical economics; and both nowcasting and forecasting.

Clements, Michael P.
Michael P. Clements is Professor of Economics at the University of Warwick. His research interests include econometric modelling and forecasting, with recent publications in the areas of forecast evaluation, the analysis of high frequency data and mixed data frequency models, real-time vintage data, and survey expectations. He currently serves as an editor of the International Journal of Forecasting.

Michael P. Clements is Professor of Economics at the University of Warwick. His research interests include econometric modelling and forecasting, with recent publications in the areas of forecast evaluation, the analysis of high frequency data and mixed data frequency models, real-time vintage data, and survey expectations. He currently serves as an editor of the International Journal of Forecasting.

David F. Hendry is a Fellow of Nuffield College and Professor of Economics, University of Oxford (Chairman, 2001-2007). He was Knighted in 2009, and holds seven Honorary Doctorates. He is an Honorary Vice-President and past President, Royal Economic Society; Fellow, British Academy, Royal Society of Edinburgh, Econometric Society, and Journal of Econometrics; Foreign Honorary Member, American Economic Association and American Academy of Arts and Sciences; and an Honorary
Fellow, International Institute of Forecasters.