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 are authoritative yet accessible.

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 Terasvirta ; 4 Forecasting with DSGE models ; Kai Christoffel , Gunter Coenen and Anders Warne ; 5 Unobserved components ; Siem Jan Koopman and Marius Ooms ; 6 Judgmental forecasting ; Paul Goodwin, Dilek Onkal 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 Capistran 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

"The Oxford Handbook of Economic Forecasting by Clements and Hendry is an impressive collection of surveys by some of the leaders in the profession. These surveys explain and update many of the important intellectual contributions to the theory of forecasting. Along the way there are descriptions of data issues and detailed applications."--Robert F. Engle, Michael Armellino Professor of Finance, NYU Stern School of Business, and 2003 Nobel Laureate in Economics "It is a delight to read such a comprehensive and innovative discussion of economic forecasting, especially in the wake of the recent largely unforeseen financial crisis. Clements and Hendry have assembled a wealth of contributions by key researchers in the field of economic forecasting. Topics include forecasting from different classes of models, including VARs, DSGE models, dynamic factor models, and nonlinear models; data issues and nowcasting; structural breaks; and forecast evaluation. Several chapters cover forecasting in highly topical fields such as finance, climate, energy, and health. This Handbook is an excellent reference and guide for students and practitioners alike."--Neil R. Ericsson, author of Testing Exogeneity and Understanding Economic Forecasts "Economic forecasting is more than predicting three of the last five recessions. This Handbook reveals the richness of the methodology, applications, and recent developments in the field. Clements and Hendry have organized a set of papers capturing these three attributes. The topics covered include methodology, data issues, forecast evaluation, financial forecasting, special interest areas, and the nemesis of all forecasters: the issue of forecasting (unknown) structural breaks. Forecasters and those interested in the field will find this a comprehensive technical introduction to modern economic forecasting."--Fred Joutz, Research Program on Forecasting, Department of Economics, George Washington University "This impressive collection of strategically selected articles by leading researchers brings the frontiers of forecasting technology to your desk in one volume. Encompassing the foundations of modern forecasting (VAR, dynamic factor models, unobserved components), practical issues such as mixed-frequency data and forecast evaluation, new developments in methodology (structural breaks, DSGE models, high frequency data), and many instructive examples of applications in finance, energy, health and even climate, it is invaluable."--Charles R. Nelson, Department of Economics, University of Washington

Selling point: Coverage of a number of areas which are less commonly associated with economic forecasting, but about which economic forecasting, and economics more generally, has something to say. These include climate change, health expenditures, and long-horizon growth forecasting, as well as facing up to how unanticipated shifts, such as the financial crisis, affect forecasts. In the early 21st century, climate change and the forecasting of health expenditures and population are topics of pressing importance.

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. 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.

Selling point: Coverage of a number of areas which are less commonly associated with economic forecasting, but about which economic forecasting, and economics more generally, has something to say. These include climate change, health expenditures, and long-horizon growth forecasting, as well as facing up to how unanticipated shifts, such as the financial crisis, affect forecasts. In the early 21st century, climate change and the forecasting of health expenditures and population are topics of pressing importance.