Detailed surveys examine innovation in economic forecasting, from improved methodologies to new commercial applications.
Forecasting Inflation: Jon Faust and Jonathan Wright (Johns Hopkins
University)
DSGE Model-Based Forecasting: Marco Del Negro (Federal Reserve Bank
of New York) and Frank Schorfheide (University of Pennsylvania)
Forecasting Output: Marcelle Chauvet (University of California,
Riverside) and Simon Potter (Federal Reserve Bank of New York)
Nowcasting and the Real Time Data Flow: Marta Banbura (European
Central Bank), Domenico Giannone (Universite Libre de Bruxelles),
Michele Modugno (University Libre de Bruxelles), and Lucrezia
Reichlin (London Business School)
Forecasting and Policy Making: Volker Wieland and Maik Wolters
(Goethe University, Frankfurt)
Forecasting Stock Returns: David Rapach (St. Louis University) and
Guofu Zhou (Washington University at St Louis)
Forecasting Interest Rates: Gregory Duffee (Johns Hopkins
University)
Forecasting the Price of Oil: Ron Alquist (Bank of Canada), Lutz
Kilian (University of Michigan),and Robert J. Vigfusson (Federal
Reserve Board)
Forecasting Real Estate Prices: Eric Ghysels (University of North
Carolina), Alberto Plazzi (Lugano), Rossen Valkanov (University of
California, San Diego) and Walter Torous (University of California,
Los Angeles)
Forecasting with Option-Implied Information: Peter Christoffersen
(University of Toronto), Kris Jacobs (University of Houston), and
Bo Young Chang (Bank of Canada)
Prediction Markets for Economic Forecasting: Erik Snowberg
(Caltech), Justin Wolfers (Wharton School, University of
Pennsylvania), and Eric Zitzewitz (Dartmouth College)
Forecasters’ Objectives and Strategies: Ivan Marinovich (Stanford
University), Marco Ottaviani (Northwestern University and Bocconi),
and Peter Sorensen (University of Copenhagen)
Forecasting Exchange Rates: an Investor Perspective: Michael
Melvin, John Prins, and Duncan Shand (BlackRock)
Variable Selection in Predictive Regressions: Serena Ng (Columbia
University)
Forecasting with Bayesian Vector Autoregressions: Sune Karlsson
(Orebro University)
Copula Methods for Forecasting Multivariate Time Series: Andrew
Patton (Duke University)
Quantile Prediction: Ivana Komunjer (University of California, San
Diego)
Panel Data Forecasting: Badi Baltagi (Syracuse University)
Forecasting Binary Outcomes: Kajal Lahiri and Liu Yang (State
University of New York, Albany)
Advances in Forecast Evaluation: Todd Clark (Kansas Fed) and
Michael McCracken (St. Louis Fed)
Advances in Forecasting under Instability: Barbara Rossi
(Universitat Pompeu Fabra)
Co-Editor of the International Journal of Forecasting, Graham Elliott is a Fellow at the Center for Applied Macroeconomic Analysis. Allan Timmerman has served as an associate editor on the editorial boards of forecasting, economics, and finance journals. A member of the UCSD faculty since 1994, he obtained his Ph.D. from Cambridge University.
"Forecasting is one of the most challenging and competitive
activities undertaken by economists. Volume 2 of the Handbook of
Economic Forecasting and the companion Volume 1 are essential
references for keeping abreast of recent improvements in
forecasting methodology and its application in demanding
circumstances." --John Geweke, University of Technology Sydney,
Australia
"This is a highly recommended volume on forecasting that covers a
wide-range of applications in economic and financial forecasting,
as well as providing comprehensive and up-to-date overviews of
forecasting theory by the leading scholars in the field." --Hashem
Pesaran, University of Southern California
"An excellent resource for any economist interested in
forecasting." --Kenneth D. West, University of Wisconsin
"These articles have been written by the most important players in
the areas, by the people who have provided important contributions
to their fields. I have no doubt about the very high quality
of these chapters and the impact they will have on people doing
applied work." --Valentina Corradi, University of Warwick
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