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Modelling and Forecasting Business Cycle in CEE Countries using a Threshold Approach

Author

Listed:
  • Magdalena Osinska

    (Nicolaus Copernicus University)

  • Tadeusz Kufel

    (Nicolaus Copernicus University)

  • Marcin Blazejowski

    (WSB University in Toruñ)

  • Pawel Kufel

    (WSB University in Toruñ)

Abstract

We propose to apply a time-series-based nonlinear mechanism in the threshold autoregression (TAR) form in order to examine business cycles in Central and Eastern European economies and compare them to the entire EU business cycle. The threshold variables, such as consumer price index, short and long interest rates, unemployment rate and an exchange rate vs. the U.S. Dollar, have been considered. The purpose of the paper is to model and to predict business cycles in Central and East European (CEE) economies (the EU Member States) and compare them to business cycles of the entire EU28 area and Eurozone EU19. We found that the exogenous mechanism played an important role in diagnosing the phases of business cycles in CEE economies, which is in line with the entire EU economic area. The results of business cycle forecasting using bootstrap technique are quite promising, while bootstrap confidence intervals are used for diagnosis.

Suggested Citation

  • Magdalena Osinska & Tadeusz Kufel & Marcin Blazejowski & Pawel Kufel, 2016. "Modelling and Forecasting Business Cycle in CEE Countries using a Threshold Approach," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 16, pages 145-164.
  • Handle: RePEc:cpn:umkdem:v:16:y:2016:p:145-164
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    References listed on IDEAS

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    More about this item

    Keywords

    business cycle; central and eastern economies; threshold models; forecasting; bootstrap;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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