A COMPARISON OF ESTIMATE MODEL FOR TIME SERIES DATA
Keywords:
Error Term, Time Series Data, ForecastingAbstract
This article aims to compare the estimated models for the Regression Model and Vector Autoregressive Model for time series data. The comparison is found that
For most economic data used to look Non Stationary is not appropriate to use a model Estimating Regression Model with because it will affect the implementation and results applying the results to the forecast error is high. Should select the Vector Autoregressive Model, because the information is used only for the Stationary same level (Level) and the Error Correction Mechanism (ECM) to join in the model. The results can be explained more clearly.
However, The Best Model to create a model estimating the correct and appropriate for that type of information will result in the forecast errors are low and can be used to accurately follow.
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