Variance Decomposition is a statistical method used to attribute the variation in a dependent variable to different sources of variation in a model, often used in time series analysis to understand the impact of shocks in a system. It helps in determining the relative importance of each shock or factor in explaining the variability of a variable over time, thus aiding in better model interpretation and forecasting accuracy.