The difference between var model and ols model

The VAR model uses all the current variables in the model to regress some lagging variables of all variables. The idea of OLS model is relatively simple, and the value with the smallest sum of squares of the difference between the actual value and the estimated value of the model is used as the parameter estimation.

VAR model is often used to predict interrelated time series systems and analyze the dynamic influence of random disturbance on variable systems, which is mainly used in macroeconomics. It is one of the simplest models to deal with the analysis and prediction of multiple related economic indicators.