- Module code: EC987
- Module name: Quantitative Methods: Econometrics B (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 will supplement the development of these key and fundamental professional skills, by looking at more advanced topics. 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 knowledge and understanding of material needed for empirical quantitative analysis; understand the theory and practice of modern econometrics at a level appropriate for postgraduates emphasising applied econometrics; produce empirical econometric analysis; interpret critically empirical results, including the vast array of diagnostic and test statistics often reported, and to come to a balanced view concerning the weight of the empirical evidence presented.
Timetabled teaching activities
41 Lecture hours and 27 Support and Feedback classes.
|Assessment group||Assessment name||Percentage|
|30 CATS (Module code: EC987-30)|
|B2 (Examination only)||Test 2 (locally held)||13.1%|
|2 hour examination (Summer)||87%|
This module is available on the following courses:
- Postgraduate Taught Behavioural and Economic Science (Economics Track) (C8P8) - Year 1