Within-entity estimation, often used in panel data analysis, focuses on capturing the variation within individual entities over time by controlling for unobserved heterogeneity. It isolates the effect of independent variables on a dependent variable by removing the influence of time-invariant characteristics specific to each entity, thus providing more accurate estimates of causal relationships.