Test students' ability to apply difference-in-differences (DiD) methods with panel data to estimate the causal employment effects of minimum wage increases. Scope includes defining treatment and control groups (including staggered adoption), specifying two-way fixed effects and event-study models, testing the parallel-trends assumption and pre-trends, clustering standard errors, performing placebo and robustness checks, interpreting coefficients and heterogeneous effects (by industry or worker group), and discussing potential biases from timing heterogeneity and omitted shocks; expect short calculations, model choice justification, and result interpretation.