EC907: Quantitative Methods: Econometrics A (for MSc Behavioural and Economic Science - Economics Track)
Subham Kailthya
Module Leader
Introduction
EC907-30 Quantitative Methods: Econometrics A (for MSc Behavioural and Economic Science - Economics Track)Principal Aims
The aim of the module is to equip students with the necessary skills required for research, including both the acquisition of habits of thought and knowledge of the techniques of modern mathematics, statistics and econometrics. 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
Subject Knowledge and Understanding:...demonstrate an understanding of material needed for empirical quantitative analysis.
Subject Specific and Professional Skills:...demonstrate the development of the habit of thought, knowledge and understanding to be able to carry out applied econometric research.
Subject Knowledge and Understanding:...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.
Subject Knowledge and Understanding:...demonstrate knowledge of the theory and practice of modern econometrics, particularly applied econometrics.
Cognitive Skills:...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.
Syllabus
The syllabus for this module will be based on the following topics; however this list is not limited to those listed below and does not infer all of these topics will be studied in the module.
Introductory Mathematics and Statistics: pre-sessional topics covered will include linear algebra, multivariate calculus and constrained optimisation, differential and difference equations, basic probability theory and hypothesis testing.
Econometrics: will cover Randomized control trials, Identification based on observables (e.g. OLS), Instrumental variables Differences-in-differences, Regression discontinuity design.
Context
- Optional Core Module
- C8P8 - Year 1
- Pre or Co-requisites
- Technical prerequisites (besides a first degree in economics) are elementary probability and statistics, mathematics for economists and algebraic facility.
Assessment
- Assessment Method
- Coursework (40%) + Centrally-timetabled examination (On-campus) (60%)
- Coursework Details
- Centrally-timetabled examination (On-campus) (60%) , Test 1 (8%) , Test 2 (12%) , Test 3 (20%)
- Exam Timing
- Summer