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Economic Forecasting

Author

Listed:
  • Holden,Ken
  • Peel,David A.
  • Thompson,John L.

Abstract

This book provides an introduction to the methods employed in forecasting the future state of the economy. It provides a comprehensive coverage of methods and applications in this fast-growing area and is intended for use in postgraduate and upper-level undergraduate courses. Part I outlines the available techniques, particularly those used in business forecasting and econometric forecasting. The state of the art in time series modelling is reviewed and includes a discussion of Box-Jenkins models, the vector autogressive approach and cointegration. Ways of combining forecasts are also examined in detail. Part II considers the most important applications of forecasting. Applications in microeconomics include demand and sales forecasting, the use of anticipations data, leading indicators and scenario analysis. In macroeconomics the emphasis is on why errors occur in forecasting asset market prices, including implications of the efficient markets hypothesis for foreign markets, stock market prices and commodity market prices. The book ends with a discussion of the appropriateness of various techniques, recent developments in forecasting, and the links between economic forecasting and government policy.

Suggested Citation

  • Holden,Ken & Peel,David A. & Thompson,John L., 1991. "Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521356923, January.
  • Handle: RePEc:cup:cbooks:9780521356923
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    Cited by:

    1. Greg Tkacz & Sarah Hu, 1999. "Forecasting GDP Growth Using Artificial Neural Networks," Staff Working Papers 99-3, Bank of Canada.
    2. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2012. "Examination of property forecasting models - accuracy and its improvement through combination forecasting," ERES eres2012_082, European Real Estate Society (ERES).

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