Forecasting
Vector autoregression (VAR) is a statistical model used to capture the linear interdependencies among multiple time series. It extends the univariate autoregressive model by allowing for multiple variables that can influence each other over time. This model is particularly useful in multivariate time series analysis, where understanding the relationship between different time series is crucial for forecasting and economic modeling.
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