Data Analysis for Economic Policy 2
Data Analysis 2 covers advanced topics of regression analysis, the fundamental methods of data analysis. This course improves students’ knowledge and skills to carry out regression analysis in complex situations and evaluate other people’s analyses in the context of business and economic policy. The emphasis is on credible methods and learning the tools of convincing presentation. This course covers topics including regression with categorical variables, probability models, non-mean regressions, handling measurement error in regression, and methods of variable selection.
By successfully completing the course the students will be able to:
- Successfully formulate research questions that are answerable by empirical analysis;
- Carry out regression analysis with categorical data, regressions of probabilities, non-
mean regressions, variable selection in regressions;
- Discuss and interpret results, understand validity and constraints.
- Present empirical analysis and write short reports with data;
- Evaluate the merits of presentations and reports that use data.
Term Project 10%
Passing the course requires a passing score on the exam (over 50%)
Prerequisite: Data Analysis 1.