The aim of this module is to provide students with the knowledge of the types of advanced econometric methods used in the analysis of cross-sectional, panel and time-series data sets. The module content is organised into two parts. The first part includes topics on the analysis of cross-section and panel data, such as systems of equations, binary dependent variables and static and dynamic panel data models, among others. The second part includes topics in time series analysis such as linear time series models, nonstationary time series, multivariate time series models and nonlinear models, among others. Applications in the areas of microeconomics, macroeconomics and finance will be considered. This module is for students who wish to gain competence in critically evaluating research results and carry out empirical work using modern econometric methods.
Learning Outcomes
By the end of the module students should be able to:
demonstrate rigorous knowledge of econometric methods;
identify the most appropriate techniques for any given empirical exercise;