This book is an excellent and valuable one on economic forecasting for academics as well as practitioners. Specifically, the decision-theoretical approach employed by the book successfully conveys a new insight into the forecasting literature by making a clear connection between forecasting and decision-making. In addition, the book's comprehensive arguments with numerous examples have no equal in other forecasting books.
-Tatsuyoshi ... Read moreOkimoto, Economic Record Economic Forecasting is a great book by two leaders in the field. Elliott and Timmermann present a complete and modern view of forecasting methods in economics, covering both traditional topics and the latest research in this area. It deserves a spot on every economist's bookshelf.
Andrew J. Patton, Duke University This book provides an up-to-date guide to forecasting for applied researchers. Particular care is devoted to reviewing theoretical results and providing detailed theoretical and empirical examples. The book also includes guidance on which methods to choose.
Barbara Rossi, ICREA-Pompeu Fabra University, Barcelona This fine book is timely and unique. The early and continuous emphasis on the loss function is wonderful, as is the insightful treatment of forecast combination. Economic Forecasting is a book that needed to be written.
Francis X. Diebold, University of Pennsylvania Elliott and Timmermann should be congratulated on producing a text that places forecasting at the heart of decision making in economics. There are many good texts on forecasting, but none provides a comprehensive integration of forecasting and forecast evaluation with decision making as it is done in this volume. In addition, the book covers standard forecasting techniques as well as recent developments dealing with model instability, real-time and mixed-frequency data, and forecast combination. The book is highly recommended.
Hashem Pesaran, director of the USC Dornsife Institute for New Economic Thinking and John Elliott Distinguished Chair in Economics, University of Southern California Economic Forecasting provides a thorough analysis of the statistical theory underlying predictive models, covering a variety of alternative forecasting methods in both classical and Bayesian contexts, as well as techniques for forecast evaluation, comparison, and combination. The methods are illustrated with numerous examples from economics and finance.
Massimiliano Marcellino, Bocconi University Show Less