The comparison of cointegration methods applications of Lithuanian’s economy modeling results
Articles
Viktorija Firkovič
Institute of Mathematics and Informatics
Rimantas Rudzkis
Institute of Mathematics and Informatics
Published 2003-12-22
https://doi.org/10.15388/LMR.2003.32501
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How to Cite

Firkovič, V. and Rudzkis, R. (2003) “The comparison of cointegration methods applications of Lithuanian’s economy modeling results”, Lietuvos matematikos rinkinys, 43(spec.), pp. 468–474. doi:10.15388/LMR.2003.32501.

Abstract

Actual goal in the modeling of the Lithuania’s transition economy is to compare some different analysismethods of cointegrated time series: Johansen’s, Box–Tiao, Stock–Watson, Engle–Granger two step procedure and principal components analysis. We investigate mathematical models of the long-run relations and changes of macroeconomic indicators, which we statistically identify using different statistical estimator of cointegrated vectors (CI) and vector error correction model (VECM).

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