Single Equation Models; Multiple Variables

C2 covers econometric and statistical techniques that estimate a single structural equation while incorporating several explanatory variables, focusing on identification, consistency, and inference in cross-section, time-series, and panel data contexts. It includes methods such as ordinary least squares, instrumental variables, limited-information maximum likelihood, and generalized method of moments applied to single-equation specifications with multiple regressors.