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Informationen zum Autor Michael P. Clements is a Reader in Economics at the University of Warwick. He is co-author with David Hendry of Forecasting Economic Time Series (1998) and Forecasting Non-stationary Economic Time Series (1999), and has published in academic journals on a variety of time-series econometrics topics. David F. Hendry , Professor of Economics at Oxford University, is a past President and Honorary Vice-President of the Royal Economic Society, Fellow of the British Academy and Econometric Society, and a Foreign Honorary Member of both the American Academy of Arts and Sciences and the American Economic Association. He has published more than twenty books, as well as over 150 articles and papers on time-series econometrics, econometric modeling, economic forecasting, the history of econometrics, Monte Carlo methods, econometric computing and empirical applications. Klappentext A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together a range of contrasting approaches and views. Forecasting is a practical venture, so many of the chapters are aimed at practitioners and nonspecialists. This book surveys a field that has expanded rapidly in recent years. There are no other up-to-date treatments that survey forecasting in a single volume. The Companion provides a comprehensive account of the leading approaches and modeling strategies that are routinely employed. An extensive editorial overview places the contributions in context, and shows their interconnections and commonalities. Zusammenfassung * Compares and contrasts the leading approaches and modeling strategies * Presents a unique survey of forecasting in a single volume * Incorporates the latest technological advances * Places contributions to the field in context and illustrates their commonalities. Inhaltsverzeichnis List of Contributors ix Preface xi Acknowledgments xiii 1 An Overview of Economic Forecasting 1 Michael P. Clements and David F. Hendry 2 Predictable Uncertainty in Economic Forecasting 19 Neil R. Ericsson 3 Density Forecasting: A Survey 45 Anthony S. Tay and Kenneth F. Wallis 4 Statistical Approaches to Modeling and Forecasting Time Series 69 Diego J. Pedregal and Peter C. Young 5 Forecasting with Structural Time-Series Models 105 Tommaso Proietti 6 Judgmental Forecasting 133 Dilek Önkal-Atay, Mary E. Thomson, and Andrew C. Pollock 7 Forecasting for Policy 152 Adrian R. Pagan and John Robertson 8 Forecasting Cointegrated VARMA Processes 179 Helmut Lütkepohl 9 Multi-Step Forecasting 206 R.J. Bhansali 10 The Rationality and Efficiency of Individuals' Forecasts 222 Herman O. Stekler 11 Decision-Based Methods for Forecast Evaluation 241 M. Hashem Pesaran and Spyros Skouras 12 Forecast Combination and Encompassing 268 Paul Newbold and David I. Harvey 13 Testing Forecast Accuracy 284 Roberto S. Mariano 14 Inference About Predictive Ability 299 Michael W. McCracken and Kenneth D. West 15 Forecasting Competitions: Their Role in Improving Forecasting Practice and Research 322 Robert Fildes and Keith Ord 16 Empirical Comparisons of Inflation Models' Forecast Accuracy 354 Øyvind Eitrheim, Tore Anders Husebø, and Ragnar Nymoen 17 The Forecasting Performance of the OECD Composite Leading Indicators for France, Germany, Italy, and the U.K. 386 Gonzalo Camba-Mendez, George Kapetanios, Martin R. Weale, ...
