ADVANCED MACROECONOMICS - 2018/9

Module code: ECOM047

Module Overview

The module approaches macro-economic modelling from micro-foundations. It aims to introduce dynamic stochastic general equilibrium (DSGE) modelling along with related numerical applications. At every stage, the theories will be illustrated in the context of some macroeconomic application.

Module provider

Economics

Module Leader

LEVINE PL Prof (Economics)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

JACs code: L130

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

Module Availability

Semester 2

Prerequisites / Co-requisites

None

Module content

Indicative content includes:


Overview of modern macroeconomic theory
Foundations of dynamic stochastic general equilibrium (DSGE) models
Applications of dynamic optimisation
Basics of Dynare and Matlab
The Real Business Cycle model
New Keynesian theory
Bayesian Estimation
Monetary policy
Alternatives to and developments of DSGE models

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework COURSEWORK - WRITTEN ASSIGNMENT COMBINING COMPUTATION AND 1500 WORD ESSAY 30
Examination EXAMINATION - 2 HOURS 70

Alternative Assessment

Not applicable.

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate

Learning outcomes above

Thus, the summative assessment for this module consists of:


A practical computing and essay assignment due typically in Week 8

2 hour examination with essay-style exam questions, scheduled in Weeks 13-15.



Formative assessment and feedback

Individual comments on scripts together with a common set of solutions and general comments

Module aims

  •  apply key microeconomic mathematical techniques in a macroeconomic context
  •  explain and discuss the construction and estimation of DSGE models
  •  apply these models to macroeconomics problems
  •  introduce  some of the strengths and weaknesses of DSGE modelling
  •  enable the students to follow the relevant literature

Learning outcomes

Attributes Developed
001 Achieve a systematic understanding of the mathematical techniques used to construct and estimate DSGE models KCPT
002 Demonstrate originality in the use of DSGE models to address macroeconomic policy problems KCPT
003 Show critical awareness of the strengths and weaknesses of DSGE modelling, and the direction in which they are developing KCPT
004 Show conceptual understanding of the literature in macroeconomics using DSGE models KCPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Overall student workload

Independent Study Hours: 128

Lecture Hours: 17

Laboratory Hours: 5

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

combine lectures on theory with practical hand-on lab sessions running the models in Dynare

The learning and teaching methods include:


2 hour lectures/lab sessions combined per week x 11 weeks

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

Reading list for ADVANCED MACROECONOMICS : http://aspire.surrey.ac.uk/modules/ecom047

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Economics MSc 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 2018/9 academic year.