EC987: Quantitative Methods: Econometrics B (for MSc Behavioural and Economic Science - Economics Track)
Neil Lloyd
Module Leader
Principal Aims
The module provides students with a thorough understanding of material needed for empirical quantitative analysis, particularly applied econometrics. You will understand how to produce high quality empirical econometric analysis using cross-sectional and panel data, and also learn to interpret critically empirical results.
Principal Learning Outcomes
Subject-specific skills/Professional Skills:...produce empirical econometric analysis. The teaching and learning methods that enable students to achieve this learning outcome are: lectures, seminars, independent study. The summative assessment methods that measure the achievement of this learning outcome are: final examination.
Cognitive skills:...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. The teaching and learning methods that enable students to achieve this learning outcome are: lectures, seminars, independent study. The summative assessment methods that measure the achievement of this learning outcome are: final examination.
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. The teaching and learning methods that enable students to achieve this learning outcome are: lectures, seminars, independent study. The summative assessment methods that measure the achievement of this learning outcome are: test and final examination.
Subject knowledge and understanding:...demonstrate knowledge and understanding of material needed for empirical quantitative analysis. The teaching and learning methods that enable students to achieve this learning outcome are: lectures, seminars, independent study. The summative assessment methods that measure the achievement of this learning outcome are: final examination.
Subject knowledge and understanding:...understand the theory and practice of modern econometrics at a level appropriate for postgraduates emphasising applied econometrics. The teaching and learning methods that enable students to achieve this learning outcome are: lectures, seminars, independent study. The summative assessment methods that measure the achievement of this learning outcome are: final examination.
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.
The module will emphasise microeconometric applications, and will cover: properties of estimators and how to generate different estimators (Maximum Likelihood Estimation, least squares, method of moments); discrete choice models (binary, unordered multinomial); censored and truncated dependent variable models (Tobit, endogenous selection - Heckman, switching regression models); Linear panel data models; Treatment evaluation methods.
Context
- Optional Core Module
- C8P8 - Year 1
- Pre or Co-requisites
- An undergraduate module in introductory econometrics and basic knowledge of matrix algebra.
Assessment
- Assessment Method
- Coursework (40%) + In-person Examination (60%)
- Coursework Details
- In-person Examination (60%) , Test 1 (locally held) (8%) , Test 2 (locally held) (12%) , Test 3 (20%)
- Exam Timing
- Summer
Exam Rubric
Time Allowed: 2 Hours
Read all instructions carefully - and read through the entire paper at least once before you start entering your answers.
There are TWO sections in this paper. Answer the ONE question in Section A (60 marks) and ONE question in Section B (40 marks).
Answer each whole question in a separate booklet.
Approved scientific (non-graphical) pocket calculators are allowed.
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.