Module code: ECOD023

Module Overview

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

Module provider


Module Leader

LEVINE Paul (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 1

Prerequisites / Co-requisites


Module content

Indicative content includes:

  • Behavioural Macroeconomic Models

  • Robust Macroeconomic Policy Design

  • Identification in DSGE Models

  • Estimation and Empirical Validation of DSGE Models

Assessment pattern

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

Alternative Assessment


Assessment Strategy


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
Upon accessing the reading list, please search for the module using the module code: ECOD023

Other information


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 2020/1 academic year.