The article introduces Vector Autoregressive (VAR) analysis, focusing on cointegration. It discusses how to create models, estimate parameters, and determine the autoregressive order and cointegrating rank. The researchers also explore ways to validate the models. They present causality tests, impulse responses, and forecast error variance decompositions as tools for analyzing VAR models.