TOPICS IN MACROECONOMIC MODELLING 1 - 2025/6

Module code: ECOD023

Module Overview

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

Module provider

Economics

Module Leader

JOO Hyungseok (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: 54

Lecture Hours: 22

Tutorial Hours: 11

Guided Learning: 30

Captured Content: 33

Module Availability

Semester 1

Prerequisites / Co-requisites

None

Module content

Indicative content includes:

  • International Macroeconomics
  • Macroeconomic and Financial Shocks in Emerging Economies
  • Exchange Rates, Nominal Rigidities, and Crises in Emerging Countries
  • Sovereign Debt and Default
  • Monetary Policy
  • Zero Lower Bound
  • Welfare Criteria, Loss functions, Consumption Equivalent Variation
  • Model solution techniques
  • Other selected topics

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework Coursework (Two Written Assignments) 100

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 economics, with a focus on research or topics broadly related to Macroeconomics.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 dissertations, and this will not constitute self-plagiarism.Formative assessmentStudents will be assessed formatively through interactive teaching and learning methods and during office hours.FeedbackStudents 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

Attributes Developed
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

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 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.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ECOD023

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, central banks, and the Treasury. Moreover, students explore research topics that 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 must become resourceful and approach problems from a theoretical, quantitative, and empirical perspective. They learn how to develop interesting data sources 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 to address the ever-changing nature of the economic phenomena.

Programmes this module appears in

Programme Semester Classification Qualifying conditions
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 2025/6 academic year.