A Fixed Effects Model is a statistical technique used in panel data analysis that controls for time-invariant characteristics of individuals or entities, allowing the estimation of causal relationships by removing unobserved heterogeneity. This model assumes that individual-specific effects are correlated with the independent variables, making it suitable for analyzing data where omitted variable bias is a concern.