TOPICS IN MACROECONOMIC MODELLING 1 - 2023/4
Module code: ECOD023
The module covers selected theoretical and empirical frontier topics in Macroeconomic Modelling.
LEVINE Paul (Economics)
Number of Credits: 0
ECTS Credits: 0
Framework: FHEQ Level 8
JACs code: L130
Module cap (Maximum number of students): N/A
Overall student workload
Workshop Hours: 11
Independent Learning Hours: 117
Captured Content: 22
Prerequisites / Co-requisites
Indicative content includes:
- Behavioural Macroeconomic Models
- Robust Macroeconomic Policy Design
- Identification in DSGE Models
- Estimation and Empirical Validation of DSGE Models
|Assessment type||Unit of assessment||Weighting|
|Coursework||Coursework (Two Written Assignments)||100|
- To present students with a comprehensive overview of the current literature and possible directions for research in selected areas of specialism.
|001||Have a thorough view of the frontier topics in Macroeconomic Modelling||CK|
|002||Acquire key technical tools required for doctoral research in macroeconomics modelling related topics||CKPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to give broad but still focused overview of selected frontier topics in Macroeconomic Modelling
The learning and teaching methods include:
Presentation and discussion in small group sessions.
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: ECOD023
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 2023/4 academic year.