Review of conditional distributions, expectation, regression and principles of inference. Linear regression models, ordinary and generalised least squares, heteroscedasticity. Non-linear least squares. Hypothesis testing and confidence intervals. Maximum likelihood estimation and testing. Introduction to models and methods for discrete and censored data. Simultaneity, exogeneity, instrumental variables methods, and ynamic models.

CILO-1: Interpret and analyze regression results, including coefficients, standard errors, and confidence intervals. CILO-2: Evaluate empirical research in economics and related fields critically. CILO-3: Apply statistical methods to economic data using statistical software such as Stata, R, or SAS.