D 2017

Macroeconomic Modelling Using Cointegration Vector Autoregression

KRKOŠKOVÁ, Radmila

Základní 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.