A Random Effects Model is a statistical approach used in panel data analysis where variation across entities is assumed to be random and uncorrelated with the independent variables. This model is particularly useful when the dataset includes multiple observations over time for the same entities, allowing for individual-specific effects to be captured without introducing bias from omitted variables.