The article introduces a new way to estimate panel data models that combine fixed and random effects. By blending these two methods, researchers can better handle issues like endogeneity in their data. The study shows that the combined estimator performs better than using fixed effects alone. This was confirmed through both theoretical analysis and practical testing on US state-level data.