TOPICS IN MACROECONOMIC MODELLING 2 - 2023/4

Module Overview

The module covers selected theoretical and empirical frontier topics in Macroeconomic Modelling.

Module provider

Economics

Module Leader

KARANTOUNIAS Anastasios (Economics)

Number of Credits: 0

ECTS Credits: 0

Framework: FHEQ Level 8

Module cap (Maximum number of students): N/A

Module Availability

Semester 2

Prerequisites / Co-requisites

None.

Module content

Indicative content:

•  Fiscal policy


•  Monetary policy


•  Inequality and Redistribution


•  Incomplete markets


•  Climate policy


•  Computation and numerical techniques


•  Other selected topics

Assessment pattern

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 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.

Formative assessment

Students will be assessed formatively through interactive teaching and learning methods and in office hours.

Feedback

Students will receive feedback on their coursework  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

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.

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

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

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.