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This video discusses fixed effects models and panel data analysis. By the end of the tutorial, viewers will be able to identify an appropriate panel data analysis method, understand the three methods for estimating a fixed effect model, and interpret the results of a fixed effects model. A model is presented using log earnings as a dependent variable and a dummy variable for marriage as the independent variable, with results showing that married men earn 25% more than unmarried men. The issue of using OLS for panel data sets is raised, highlighting the importance of considering the panel nature of the data set.