- Module code: EC907
- Module name: Quantitative Methods: Econometrics A (for MSc Behavioural and Economic Science - Economics Track)
- Department: Economics
- Credit: 30
Module content and teaching
The aim of the module is to give students a good grounding in maths, statistics and modern econometric techniques. Within the econometrics element students will study the ways in which the techniques are applied in the empirical analysis of economic data. This module concentrates on the development of these key and fundamental professional skills. The module covers the analysis of cross-section and limited dependent variable data (but does not cover the analysis of time-series data).
Principal learning outcomes
By the end of the module the student should be able to: demonstrate an understanding of fundamental concepts in mathematics and statistics relevant to the other core modules and be able to apply these concepts to economics; demonstrate an understanding of material needed for empirical quantitative analysis; demonstrate knowledge of the theory and practice of modern econometrics, particularly applied econometrics; demonstrate the development of the habit of thought, knowledge and understanding to be able to carry out applied econometric research; develop the critical insight to appraise econometric results obtained by other researchers.
Timetabled teaching activities
41 Lecture hours and 27 Support and Feedback classes.
|Assessment group||Assessment name||Percentage|
|30 CATS (Module code: EC907-30)|
|B2 (Examination only)||Test 1 (locally held)||8%|
|Test 2 (locally held)||12%|
|2 hour examination (Summer)||80%|
This module is available on the following courses:
- Postgraduate Taught Behavioural and Economic Science (Economics Track) (C8P8) - Year 1