EC902: Quantitative Methods: Econometrics A
Gianna Boero
Module Leader
Manuel Bagues
Module Leader
Subham Kailthya
Module Lecturer
Principal Aims
EC902-50 Quantitative Methods: Econometrics APrincipal Learning Outcomes
20 CATSDemonstrate 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.
50 CATSSubject 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 a deep understanding of material needed for empirical quantitative analysis.
Subject Knowledge and Understanding:...demonstrate a full knowledge of the theory and practice of modern econometrics, particularly applied econometrics.
Subject Specific and Professional Skills:...demonstrate the development of the habit of thought, knowledge and understanding to be able to carry out good quality applied econometric research with confidence and authority.
Cognitive Skills:...develop the critical insight to appraise econometric results obtained by other researchers.
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.
The autumn term will cover Linear Regression Model (LRM), Maximum Likelihood Estimation (MLE), hypothesis testing, model diagnostics, limited dependent variable models, measurement error, simultaneity bias, endogeneity, instrumental variables, and Generalised Method of Moments (GMM).
50 CATSThe 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:
Term 1 will cover Randomized control trials, Identification based on observables (e.g. OLS), Instrumental variables Differences-in-differences, Regression discontinuity design.
Term 2 will cover the econometric modelling of economic and financial time-series data. This will include time series models, modelling univariate time series, unit root processes, multivariate time series, autoregressive conditional heteroskedasticity, and panel data.
Context
- 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
- 20 CATS - Coursework (20%) + Examination (80%) 50 CATS - Coursework (45%) + Online Examination (55%)
- Coursework Details
- 20 CATS: Examination (80%) , Other (20%)
50 CATS: Online Examination (55%) , Project (25%) , Test 1 (4%) , Test 2 (6%) , Test 3 (10%) - Exam Timing
- Summer
Exam Rubric
Time Allowed: 3 Hours plus 15 minutes reading time.
Read all instructions carefully- and read through the entire paper at least once before you start entering your answers.
Sections A and B are based on the material covered in Term 1 and Sections C and D are based on the material covered in Term 2.
There are FOUR Sections in this paper. Answer ALL questions in Section A (30 marks), ONE of TWO questions in Section B (20 marks), ALL questions in Section C (30 marks), and ONE of TWO questions in Section D (20 marks).
Approved pocket calculators are allowed. Statistical Tables are provided.
You should not submit answers to more than the required number of questions. If you do, we will mark the questions in the order that they appear, up to the required number of questions in each section.
Previous exam papers can be found in the University’s past papers archive. Please note that previous exam papers may not have operated under the same exam rubric or assessment weightings as those for the current academic year. The content of past papers may also be different.