Business cycles, indicators, and forecasting
Author(s)
Bibliographic Information
Business cycles, indicators, and forecasting
(Studies in business cycles, v. 28)
University of Chicago Press, 1993
Available at 55 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and indexes
Description and Table of Contents
Description
The inability of forecasters to accurately predict the recent recession emphasizes the need for better ways for charting the course of the economy. In this volume, economists examine forecasting techniques developed over the past ten years, compare their performance to traditional econometric models, and discuss new methods for forecasting and time series analysis. The volume begins with an examination of the historical performance of economic forecasts, using data collected from a quarterly survey of macroeconomic forecasters from 1968 through 1990. Strengths and weaknesses of these predictions are discussed and new insights into the potential and limitations of forecasting are provided. The following three chapters use recently developed statistical techniques for predicting recessions and expansions, and examine the performance of these techniques during the 1990-91 recession. Chapter five explores why the spread between public and private interest rates has been a good predictor of real economic activity. Chapter six examines the relation between the duration of a business cycle and the likelihood of its end.
The final two chapters discuss methods for economic time series and forecasting.
Table of Contents
Acknowledgments Introduction James H. Stock And Mark W. Watson 1. Twenty-Two Years Of The NBER-ASA Quarterly Economic Outlook Surveys: Aspects And Comparisons Of Forecasting Performance Victor Zarnowitz And Phillip Braun Comment: Allen Sinai 2. A Procedure For Predicting Recessions With Leading Indicators: Econometric Issues And Recent Experience James H. Stock And Mark W. Watson Comment: Kenneth F. Wallis 3. Estimating Event Probabilities From Macroeconometric Models Using Stochastic Simulation Ray C. Fair Comment: James D. Hamilton 4. A Nine Variable Probabilistic Macroeconomic Forecasting Model Christopher A. Sims Comment: Pierre Perron 5. Why Does The Paper-Bill Spread Predict Real Economic Activity? Benjamin M. Friedman And Kenneth N. Kuttner Comment: Ben S. Bernanke 6. Further Evidence On Business Cycle Duration Dependence Francis X. Diebold, Glenn D. Rudebusch, And Daniel E. Sichel Comment: Bruce E. Hansen 7. Dynamic Index Models For Large Cross Sections Danny Quah And Thomas J. Sargent Comment: John Geweke 8. Modelling Non-Linearity Over The Business Cycle Clive W.J. Granger, Timo Terdsvirta, And Heather Anderson Comment: Andrew Harvey Contributors Author Index Subject Index
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