ECON6004 Quantitative Methods
This module will present and discuss the main econometric techniques that are used in applied econometric research, and demonstrated through applications.
Aims and Objectives
The module aims to give students a solid and clear understanding of key elements of econometric theory. We will also cover application of the theory, but looking at research papers and through the use of Stata, a widely used piece of econometric software. This will form a base for later applied modules, as well as provide preparation for the dissertation.
Having successfully completed this module you will be able to:
- Demonstrate knowledge and understanding of both cross-sectional and time-series econometric theory
- Demonstrate knowledge and understanding of the most common empirical strategies used in applied econometric research
- Understand the key issues faced in applied econometric analysis, and how to deal with these.
The main topics to be covered include: • Linear Regression Models • Hypothesis Testing and Confidence Intervals • Instrumental Variables Regression Models • Programme Evaluation Techniques: Matching, Difference-in-Differences and Regression Discontinuity Design • Discrete Choice Models • Censored Regression and Sample Selection Models • Panel Data Models • Time Series Models The pace of the lectures may need to be adjusted based on prior knowledge of econometrics and students’ interest in the current topic being discussed.
Learning and Teaching
Teaching and learning methods
This is a full course unit with 40 hours of lectures in Semester 1.
|Total study time||200|
Assessment is by a three hour written examination at the end of Semester 1 (80%). Two coursework assignments count for 20% of the final mark (10% per assignment). Resit assessment will be a three hour written examination in the supplementary period
|Exam (3 hours)||80%|
|Exam (3 hours)||100%|
Repeat type: Internal & External