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Vector autoregressive moving-average (VARMA) processes are suitable models for producing linear forecasts of sets of time series variables. They provide parsimonious representations of linear data generation processes. The setup for these processes in the presence of stationary and cointegrated...
Persistent link: https://www.econbiz.de/10014023700
In this paper, we test cointegration between GDP and Public consumption of the Republic of North Macedonia, for … quarterly data of twenty years' time series (2000Q1-2019Q4). We present results of two methods for cointegration test: first …, residual regression test table and second, Engle & Granger cointegration test and Philips Ouliaris test. Both methods provides …
Persistent link: https://www.econbiz.de/10013489691
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derive unit root and cointegration tests in panels with short time dimension; these tests have the attractive feature that … hypothesis and cointegration tests based on it perform well in small sample; this is in marked contrast to the small sample …
Persistent link: https://www.econbiz.de/10009786715
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employing the Kalman filter. The time-varying cointegration parameters suggest that the security measures indeed impacted price …
Persistent link: https://www.econbiz.de/10010356541
This paper investigates whether codependence restrictions can be uniquely imposed on VAR and VEC models via the so-called pseudo-structural form used in the literature. Codependence of order q is given if a linear combination of autocorrelated variables eliminates the serial correlation after q...
Persistent link: https://www.econbiz.de/10011489949
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We consider VAR models for variables exhibiting cointegration and common cyclical features. While the presence of … cointegration reduces the rank of the long-run multiplier matrix, other types of common features lead to rank reduction of the short …
Persistent link: https://www.econbiz.de/10011398127
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