TOPICS IN MACROECONOMETRICS - 2021/2
Module code: ECOD025
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.
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The module covers a range of econometric tools that are typically employed in empirical work in macroeconomics.
GABRIEL Vasco (Economics)
Number of Credits: 0
ECTS Credits: 0
Framework: FHEQ Level 8
JACs code: L100
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
Indicative content includes:
- State Space Models and Kalman Filtering
- (Dynamic) Factor models
- VAR models and extensions
- Nonlinear methods for IRFs
- Simulated Methods of Moments
- Bayesian Methods
- Macro Panels
|Assessment type||Unit of assessment||Weighting|
The assessment strategy is designed to provide students with the opportunity to demonstrate their technical skills relating to the use of the relevant econometrics techniques to carry out innovative empirical work.
Thus, the summative assessment for this module consists of:
• 2 Problem sets worth 30% of the final mark.
• A take-home assignment involving the implementation of one of the methods covered in the module, worth 70% of the final mark.
Students will be supported formatively through interactive teaching, informal discussion, mini coding workshops and office hours.
Written and oral feedback will be provided on the pieces of assessment. Office hours are devoted to more targeted, individually based feedback on specific problems.
- to provide students with a strong foundation on theoretical macroeconometrics and its applications
- to enable students to conduct independent research in macroeconometrics/empirical macroeconomics
|001||To demonstrate advanced understanding and be able to critically evaluate of the main methods used in empirical macroeconomics||CKPT|
|002||To engage in innovative research in macroeconometrics||CKPT|
|003||To be able to independently implement, using appropriate software (e.g. Matlab), and apply the techniques learned to real data, and intepret the results||CPT|
|004||To be able to present critical analysis at the appropriate level||CPT|
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:
• Provide research-led teaching that gives students a deep understanding of the theoretical econometric issues, enables them to implement the techniques and allows students to consider possible methodological contributions.
The learning and teaching methods include:
• 11 taught lectures, which will include the presentation of technical material and interaction with students
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.
Upon accessing the reading list, please search for the module using the module code: ECOD025
Programmes this module appears in
|Economics PHD||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.