Fixed Effects Models are statistical techniques used in econometrics and social sciences to analyze data that involves multiple observations over time for the same subjects, such as individuals or companies. These models control for unobserved variables that do not change over time, allowing researchers to focus on the effects of variables that do vary. By using Fixed Effects Models, researchers can eliminate the influence of time-invariant characteristics, which helps to reduce bias in estimating the relationships between variables. This approach is particularly useful when studying panel data, where the same subjects are observed repeatedly, providing richer insights into dynamic changes.