TOPICS IN MACROECONOMIC MODELLING 2 - 2024/5
Module code: ECOD024
The module covers selected theoretical and empirical frontier topics in Macroeconomic Modelling.
KARANTOUNIAS Anastasios (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: 106
Guided Learning: 11
Captured Content: 22
Prerequisites / Co-requisites
- Fiscal policy
- Monetary policy
- Inequality and Redistribution
- Incomplete markets
- Climate policy
- Computation and numerical techniques
- Other selected topics
|Assessment type||Unit of assessment||Weighting|
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 that entails activities designed to potentially lead to the development of an original and independent research project. For example, coursework can involve in-class presentations of research papers, referee reports, replication of results of relevant papers and so forth. Extracts from the coursework may eventually be used in the students’ PhD dissertation, and this will not constitute self-plagiarism.
Students will be assessed formatively through interactive teaching and learning methods and in office hours.
Students will receive feedback on their coursework as well as informal feedback in class.
- To present students with a comprehensive overview of the current literature and possible directions for research in selected areas of specialism
|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|
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.
Upon accessing the reading list, please search for the module using the module code: ECOD024
Employability: Students develop a deep knowledge of the macroeconomy, financial markets and fiscal and monetary policies. They develop skills necessary in the finance industry, in central banks and in the Treasury. Moreover, students explore research topics that will make them employable in an academic setting.
Digital capabilities: Students get acquainted with programming languages and solve macroeconomic models.
Resourcefulness and resilience: the module introduces techniques and methods at a level appropriate for academic research. Students sharpen their understanding of economic models and learn how to ask interesting questions that warrant research at the frontier. They have to become resourceful and approach problems from a theoretical, quantitative and empirical perspective. They learn how to come up with interesting sources of data that can validate or refute an economic argument. They learn how to understand the weaknesses of an economic theory and how to develop new ones in order to address the ever-changing nature of the economic phenomena.
Programmes this module appears in
|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 2024/5 academic year.