Microeconometric Methods
| Code | School | Level | Credits | Semesters |
| ECON3022 | Economics | 3 | 10 | Autumn UK |
- Code
- ECON3022
- School
- Economics
- Level
- 3
- Credits
- 10
- Semesters
- Autumn UK
Summary
This module focuses on a range of econometric methods used in policy evaluation and in the identification and estimation of causal effects. Topics to be covered include:
- Potential Outcomes Framework
- Regression Analysis and Matching
- Instrumental Variables
- Difference-in-Differences
- Regression Discontinuity
Target Students
Available for final year students in the School of Economics, including final year students on the BA Jt Hons Politics and Economics and BSc Jt Hons Mathematics and Economics degrees who studied ECON2005 and ECON2006 or ECON2049 and ECON2050. Not available for Exchange students.
Classes
This module is delivered through a combination of lectures and tutorials.
Assessment
- 100% Exam (2-hour): Exam
Assessed by end of autumn semester
Educational Aims
To introduce a range of methods in modern microeconometric analysis using cross-section and panel data and to provide a sound understanding of the assumptions under which causal effects can be identified with each method.Learning Outcomes
On completing this module, the learning outcomes are such that students will be able to demonstrate an understanding of how econometric methods can be applied to estimate the casual impact of a wide range of economic policies. Specifically, students will be able to:
Knowledge and Understanding:
- A4 Demonstrate understanding of verbal, graphical, mathematical and econometric representation of economic ideas and analysis, including the relationship between them.
- A5 Show understanding of relevant mathematical and statistical techniques.
Intellectual Skills:
- B3 Be able to evaluate, analyse and present quantitative data.
Professional / Practical Skills:
- C2 Understand the sources and content of economic data and evidence, as well as appropriate methods of analysis.
Transferable Skills:
- D1 Apply mathematical, statistical and graphical techniques in an appropriate manner.