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Methods for Forecasting the Business Cycle

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  • Roumen Vesselinov

Abstract

The main aim of the undertaking is to define and implement a methodology for forecasting the business cycle and particularly the leading composite indicator. This methodology consolidates some elements recognized in the literature with some new elements of estimating and ranging of forecasts. It uses all the effective information from the numerous forecasts and synthesises them into one combined forecast.

Suggested Citation

  • Roumen Vesselinov, 2001. "Methods for Forecasting the Business Cycle," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 61-73.
    • Handle: RePEc:bas:econth:y:2001:i:1:p:61-73
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    References listed on IDEAS

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    1. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. Yock Y. Chong & David F. Hendry, 1986. "Econometric Evaluation of Linear Macro-Economic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 671-690.
    4. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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