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Explore the intricacies of panel data model estimation in this comprehensive 29-minute lecture, focusing on fixed effects (FE) and random effects (RE) models. Gain a deeper understanding of panel data analysis techniques and their applications in econometrics. Learn how to differentiate between FE and RE models, their assumptions, and when to use each approach. Discover the advantages and limitations of these models in handling unobserved heterogeneity across individuals or entities over time. Enhance your analytical skills and expand your knowledge of advanced statistical methods for analyzing longitudinal data sets.