Learning Outcomes
Students who complete this course WILL be
-familiar with the tools, techniques and methods of empirical economics
-able to understand how to postulate and test hypotheses related to economic issues or problems
-able to use statistical software to estimate regression models
-able to analyze the strengths and weaknesses of the basic regression mode
-able to understand and evaluate key findings in published economic research from a wide range of sources
-able to apply their understanding of core concepts and quantitative tools to analyze and research real world problems
-able to evaluate alternative economic policy proposals
Course Content (Syllabus)
-UNIVARIATE TIME SERIES MODELS (AR, ARMA, ARCH, GARCH)
-CONCEPT AND TESTS OF STATIONARITY
-STATIONARITY TESTS WITH STRUCTURAL BREAKS
-CONCEPT AND TESTS OF GRANGER CAUSALITY
-VECTOR AUTOREGRESSION MODELS (VAR)
-CONCEPT AND TESTS OF LINEAR COINTEGRATION
-ERROR CORRECTION MODELS
-METHODS OF NON-LINEAR (ASYMMETRIC) COINTEGRATION
-STATIONARITY TESTS IN PANEL DATA MODELS
-COINTEGRATION TESTS IN PANEL DATA MODELS
-THE GENERALIZED METHOD OF MOMENTS (GMM)