Module code: ECOD024

Module Overview

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

Module provider


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


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


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.


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
Upon accessing the reading list, please search for the module using the module code: ECOD024

Other information


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.