Panel data: static model

This lecture covers the concept of panel data, which involves data collected over multiple time periods for the same sample of individuals, and introduces the static model for analyzing such data. The instructor explains the utility assumption, logit model, and the estimation process, highlighting the contributions of individual observations to the log likelihood. The lecture also discusses the limitations of the static model, such as serial correlation and dynamics in decision-making processes.