ADVANCED ECONOMETRICS 1 - 2021/2
Module code: ECOM061
In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.
These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.
Prior to registering online, you must read this general information and all relevant additional programme specific information. By completing online registration, you acknowledge that you have read such content, and accept all such changes.
Module Overview
The module provides the analytical tools required for deriving the limiting distribution of estimators in the context of linear models (OLS and instrumental variables) and nonlinear models (NLS and Generalized Method of Moments). Since asymptotic approximations may be not be sufficiently accurate in finite samples, we study how to construct bootstrap critical values, in order to provide more accurate inference.
Module provider
Economics
Module Leader
CORRADI Valentina (Economics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code:
Module cap (Maximum number of students): N/A
Module Availability
Semester 1
Prerequisites / Co-requisites
None.
Module content
Indicative content includes:
- Statistics tools: Modes of Convergence, Law of Large Numbers, Central Limit Theorems
- Consistency and Asymptotic Normality of Ordinary Least Squares Estimators
- Hypothesis Testing: Wald, Lagrange Multiplier and Likelihood Ratio Tests
- Estimation of Asymptotic Covariance Matrices • Instrumental Variables Estimators: (1) Consistency and Asymptotic Normality, (2) Weak instruments and weak identification
- Consistency and Asymptotic Normality of Generalized Method of Moments Estimators (GMM), Tests for Identifying Restrictions
- The Bootstrap and its Applications
Assessment pattern
| Assessment type | Unit of assessment | Weighting |
|---|---|---|
| Coursework | COURSEWORK (TAKE HOME EXAMINATION) | 30 |
| Examination | FINAL EXAMINATION (2 HOURS) | 70 |
Alternative Assessment
None
Assessment Strategy
The assessment strategy is designed to provide students with the opportunity to demonstrate their technical skills relating to the use of econometrics techniques to conduct innovative empirical work.
Thus, the summative assessment for this module consists of:
- A two- hour final examination
- A take home examination involving Matlab programming and theoretical exercises, typically due in week 9.
Formative assessment
Discussions during and outside lectures.
Feedback
Student will receive verbal feedback during the lectures and tutorials through direct interaction, as well more formally following coursework submission.
Module aims
- Provide students with an advanced understanding of key statistical and econometric tools
- Enable student to state a hypothesis of interest and derive a test
- Enable students to be competent and innovative econometrics users
Learning outcomes
| Attributes Developed | ||
|---|---|---|
| 001 | Understand econometrics papers in top general and top field journals. | CK |
| 002 | Formalise hypotheses of interest. | CKT |
| 003 | Modify existing tests/estimators to accommodate their own econometrics problems . | CKT |
Attributes Developed
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 117
Lecture Hours: 22
Tutorial Hours: 11
Methods of Teaching / Learning
The learning and teaching strategy is designed to: develop student independent research skills, by training them to conduct critical analysis of papers in scientific journals. Problems sets will be assigned to ensure all concepts and methods are properly mastered.
The learning and teaching methods include:
Interactive lectures. Review of problem set solutions.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list
Reading list for ADVANCED ECONOMETRICS 1 : http://aspire.surrey.ac.uk/modules/ecom061
Other information
None.
Programmes this module appears in
| Programme | Semester | Classification | Qualifying conditions |
|---|---|---|---|
| Economics MRes | 1 | Compulsory | A weighted aggregate mark of 50% is required to pass the module |
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2021/2 academic year.