Discrete Panel Data

This lecture by the instructor covers the concept of discrete panel data, which involves data collected over multiple time periods for the same sample of individuals. It explains the difference between cross-sectional and panel data, the challenges of modeling panel effects, and the application of dynamic models. The lecture delves into static and dynamic models with panel effects, discussing the assumptions, estimation methods, and practical implications. Examples of discrete panel data scenarios are provided, highlighting the importance of accounting for serial correlation and endogeneity. The presentation concludes with a summary of the key concepts and limitations of modeling panel effects in empirical studies.