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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...
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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 …
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A central assumption for identifying structural shocks in vector autoregressive (VAR) models via heteroskedasticity is the time-invariance of the impact effects of the shocks. It is shown how that assumption can be tested when longrun restrictions are available for identifying structural shocks....
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study has employed a dynamically simulated autoregressive distributed lag (ARDL) cointegration approach, which shows a well …
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