Quantitative Methods for Economics II
Module Code: TBC
- ECTS Credit: 10
- Mandatory/Optional: Core module (compulsory)
- Period: Semester 2
- Module Coordinator: Professor Michael King
Building on the foundational concepts in statistics such as confidence intervals and hypotheses testing, this module explores alternative approaches to causal inference such as difference and difference estimators, regression discontinuity and randomised control trials. The module includes examples of policy focused causal inference studies. Assignments are based on real-world data and problems in a wide range of fields.
On successful completion of this module, students should be able to:
MLO5.1 Abstract from concrete problems to generic concepts.
MLO5.2 Problem-solve using quantitative methods
MLO5.3 Perform simple statistical analysis.
- Continuous assessment and Project [40%]: It will involve a practical application of material studied during the module.
- Final Examination [60%]: It will test critical understanding and appropriate application of topics covered in the module.