Regression: simple properties of OLS estimators and sampling distributions of regression coefficients, elementary analysis of variance, estimation and interpretation of multiple regression coefficients, multicollinearity, elementary analysis of misspecification (serial correlation, heteroscedasticity and structural change);
Forecasting: conditional and unconditional forecasts and confidence intervals;
Elementary representation of economic time series: first-order AR and MA representations, random walks.
In addition, applicants must have competence in the following areas of mathematics:
Calculus: functions of several variables, partial and total derivatives, the chain rule, constrained optimisation using Lagrange multipliers, integration;