2017
Macroeconomic Modelling Using Cointegration Vector Autoregression
KRKOŠKOVÁ, RadmilaZákladní údaje
Originální název
Macroeconomic Modelling Using Cointegration Vector Autoregression
Autoři
KRKOŠKOVÁ, Radmila (203 Česká republika, garant, domácí)
Vydání
Hradec Králové, 35th International Conference, Mathematical Methods in Economics, od s. 732-737, 6 s. 2017
Nakladatel
University of Hradec Králové
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10103 Statistics and probability
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
paměťový nosič (CD, DVD, flash disk)
Kód RIV
RIV/47813059:19520/17:00010974
Organizační jednotka
Obchodně podnikatelská fakulta v Karviné
ISBN
978-80-7435-678-0
Klíčová slova anglicky
ADF test of stationarity; correlation analysis; Granger causality; time series analysis; VECM model
Změněno: 7. 2. 2020 10:58, RNDr. Daniel Jakubík
Anotace
V originále
The article deals with modern econometric methods that will be used in long-term structural macro econometric modeling of the Czech economy. The structural model is estimated for the Czech economy to quarterly data 2005Q1 -2016Q4. On the basis of the economic theory is to derive long-term relationships for a small open economy with 9 endogenousvariables (6 domestic and 3 international) and 1 exogenous variable. The data source was the Eurostat database, FRED, Czech National Bank and the Czech Statistical Office.This article aims to find cointegration equations for modeling the long-term equilibrium of economic relations in the Czech Republic in the analyzed period. Based on the number of determined cointegration relationships is tested weak exogenous and there are tested hypotheses considering by restrictions on the coefficients so that the estimated cointegration relations in accordance with the economic and statistical theories. Achieved empirical results are influenced by the fact that the Czech economy has undergone in the period currency crisis. The calculations used EViews software version 9.