A Fixed Effects Model is a statistical technique used in panel data analysis, where multiple observations are collected over time for the same subjects. This model controls for unobserved variables that do not change over time, allowing researchers to focus on the impact of variables that do vary. It assumes that individual-specific effects are constant and can be removed from the analysis. This approach is particularly useful in fields like economics and social sciences, where researchers want to examine the effects of certain factors while accounting for individual differences. By using a fixed effects model, analysts can obtain more accurate estimates of the relationships between variables.