Vector autoregressive (VAR) models are used to analyze relationships between multiple variables in economics. These models are helpful for forecasting and understanding how variables interact over time. They can capture both short-term dynamics and long-term trends in economic data. By using VAR models, researchers can investigate structural economic hypotheses and separate long-run relationships from short-run dynamics. This approach allows for a more comprehensive understanding of the factors influencing economic trends and forecasts.