This module is about the analysis of data within economics, and the interpretation of empirical results.
More specifically the module aims:
- To provide a practical introduction to commonly used econometric techniques
- To understand the difference between an association and a causal effect
- To critically understand the analytical methods, such as matching, instrumental variables, and regression discontinuity designs
- To impart the ability to understand and interpret results statistically and economically
- To apply core economic theory to applied and policy-relevant topics
- To relate differences in economic policy recommendations to differences in the theoretical and empirical features of the economic analysis, which underlies such recommendations.
Objectives:
- Comprehension of complex arguments
- Confrontation of theory and evidence
- Ability to work with quantitative models and numerical data
- Understanding of the roles of theory and empirical evidence in forming and critically assessing policy
- Ability to assess the relevance and importance of the ideas of others
- Ability to independently formulate and communicate arguments and conclusions.
Taught by: | Liyang Sun |
Assessment: | 2 hours of lectures per week and 5 problem classes with written assignments. The course will be examined by a 2-hour unseen written exam in Term 3. |
Suitable for: | Graduate students |
Prerequisites: | ECON0064 MSc-level Econometrics |
Moodle page: | ECON0070 |