The aim of this course is to expose students to both introductory and advanced analytical methods for macroeconomic theory and policy. The class will provide a primer on introductory inferential statistics (sampling, probability, central tendencies, spread, t- tests and ANOVA) and work towards more advanced analytical applications which are geared towards research questions in macroeconomics. These techniques include multiple regression, logistic regression, multi-dimensional scaling, regression trees, cluster analysis, survival analysis and basic time series analysis. This class will focus on learning both the theoretical background and application of these methods and discuss the ethical and contextual issues that surround the use of statistical analysis in macroeconomic research. Prerequisite(s) ECON 2000 and ECON 2100.
Common Course Outline