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Прогнозування Реакції Економіки України На Економічні Шоки В Сусідніх Державах: Глобальна Векторна Авторегресійна Модель «Україна-Сусіди»
[Forecasting the Responses of Ukraine to Economic Shocks in the Neighbour-Countries: Global Vector Autoregressive Model “Ukraine-Neighbours”]

Author

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  • Matkovskyy, Roman

Abstract

In this article the approach of Global Vector-Autoregressive (GVAR) models has been applied to Ukraine and its neighbour-countries which contiguous to Ukraine: Belarus, Bulgaria, Georgia, Moldova, Romania, Poland, Slovakia, Russia Federation, Turkey and Hungary. The goal of the research is to identify and forecast interactions among these economies, estimate import-export flows, discover the mechanism of the response of Ukraine to inflation and unemployment shocks and also of the shocks transmission mechanism to Ukrainian economy.

Suggested Citation

  • Matkovskyy, Roman, 2012. "Прогнозування Реакції Економіки України На Економічні Шоки В Сусідніх Державах: Глобальна Векторна Авторегресійна Модель «Україна-Сусіди» [Forecasting the Responses of Ukraine to Economic Shocks in," MPRA Paper 44717, University Library of Munich, Germany, revised Nov 2012.
    • Handle: RePEc:pra:mprapa:44717
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    References listed on IDEAS

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    More about this item

    Keywords

    global vector autoregressive model (GVAR); impulse response function; shocks transmission mechanism;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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