TOPICS IN MACROECONOMIC MODELLING 2 - 2020/1
Module code: ECOD024
Module Overview
The module covers selected theoretical and empirical frontier topics in Macroeconomic Modelling.
Module provider
Economics
Module Leader
PRACA CAVACO NUNES Ricardo (Economics)
Number of Credits: 0
ECTS Credits: 0
Framework: FHEQ Level 8
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 117
Lecture Hours: 33
Module Availability
Semester 2
Prerequisites / Co-requisites
None.
Module content
Indicative content includes:
- Advanced models of economic growth
- Models of the very long run
- Neo-classical Models vs Behavioral Growth Models
- Monetary Policy
- Dynamic Programing
- Model and Numerical Solution Techniques
- Fiscal Policy
- Other selected topics
Assessment pattern
Assessment type | Unit of assessment | Weighting |
---|---|---|
Coursework | One Written Assignment (3,000 words) | 50 |
Coursework | Second Written Assignment and Presentation (3,000 words) | 50 |
Alternative Assessment
None.
Assessment Strategy
The assessment strategy is designed to provide students with the opportunity to demonstrate their ability to formulate and pursue a research problem in Macroeconomic Modelling
Thus, the summative assessment for this module consists of:
- Coursework comprising of two written assignments. The first written assignment consists of a research proposal with an original and independent research topic. This written report should tentatively consist of no more than 3,000 words. The second written assignment consists of a presentation and a written report following up on a more developed version of the initial research proposal. This second written assignment should tentatively consist of no more than 3,000 words. This report should be presented in class for 15 to 20 minutes. The first written report is typically submitted by week 11 and the 2nd report and presentations will typically take place between weeks 11 and 13.
Formative assessment
Students will be assessed formatively through interactive teaching and learning methods and in office hours.
Feedback
Students will receive written feedback on their coursework as soon as possible after the deadline for submission, as well as informal feedback in class.
Module aims
- To present students with a comprehensive overview of the current literature and possible directions for research in selected areas of specialism
Learning outcomes
Attributes Developed | ||
001 | To demonstrate advanced understanding of the frontier topics in Macroeconomic Modelling | CK |
002 | To apply technical tools that enable the start of a PhD thesis in Macroeconomic Modelling-related topics | CKPT |
Attributes Developed
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:
- provide research-led teaching that introduces students to the latest findings in this subject area.
- give students practical experience of applying technical tools.
The learning and teaching methods include:
11 taught interactive lectures, which will include the presentation of technical material, interactive discussion and presentations from 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.
Reading list
https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ECOD024
Other information
None.
Programmes this module appears in
Programme | Semester | Classification | Qualifying conditions |
---|---|---|---|
Economics PHD | 2 | 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 2020/1 academic year.