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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”]

  • Matkovskyy, Roman

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.

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File URL: https://mpra.ub.uni-muenchen.de/44717/1/MPRA_paper_44717.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 44717.

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Date of creation: Jan 2012
Date of revision: Nov 2012
Handle: RePEc:pra:mprapa:44717
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  1. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  2. Mackinnon, J.G. & Haug, A.A. & Michelis, L., 1996. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," G.R.E.Q.A.M. 96a09, Universite Aix-Marseille III.
  3. Matthieu Bussière & Alexander Chudik & Giulia Sestieri, 2012. "Modelling global trade flows: results from a GVAR model," Globalization and Monetary Policy Institute Working Paper 119, Federal Reserve Bank of Dallas.
  4. M. Hashem Pesaran & Til Schuermann & Scott M. Weiner, 2002. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Center for Financial Institutions Working Papers 01-38, Wharton School Center for Financial Institutions, University of Pennsylvania.
  5. Christian Dreger & Yanqun Zhang, 2011. "The Chinese Impact on GDP Growth and Inflation in the Industrial Countries," Discussion Papers of DIW Berlin 1151, DIW Berlin, German Institute for Economic Research.
  6. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 642-675, October.
  7. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
  8. Matthew Greenwood‐Nimmo & Viet Hoang Nguyen & Yongcheol Shin, 2012. "Probabilistic forecasting of output growth, inflation and the balance of trade in a GVAR framework," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(4), pages 554-573, 06.
  9. Silvia Sgherri & Alessandro Galesi, 2009. "Regional Financial Spillovers Across Europe; A Global VAR Analysis," IMF Working Papers 09/23, International Monetary Fund.
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