Surrey University Stag

ADVANCED MACROECONOMICS - 2023/4

Module code: ECOM047

Module Overview

This module builds on the techniques for dynamic optimization developed in ECOM021 and taken together, the two courses provide a rigorous introduction to modern macroeconomic modelling. ECOM047 focuses on model construction, simulation and policy analysis. The general approach to macro-economic modelling is to derive all decisions of economic agents from micro-foundations in a rational expectations, dynamic and stochastic setting. Taken together with market clearing, the models studied are then the dynamic general equilibrium (GE) model that forms the basis of macroeconomic modelling that is common nowadays.

The Course will study the construction of a rich, modern macroeconomic model in steps, progressing in stages from simpler set-ups. The use of Software packages Matlab will be taught to carry out the numerical solution and simulation of the models. The ultimate aim is to use such models to first, understand the movements in macroeconomic data and second, understand their implications for policies.

Module provider

Economics

Module Leader

TSUJIYAMA Hitoshi (Economics)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

JACs code: L130

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

Overall student workload

Independent Learning Hours: 79

Lecture Hours: 22

Tutorial Hours: 5

Guided Learning: 22

Captured Content: 22

Module Availability

Semester 2

Prerequisites / Co-requisites

None

Module content

Indicative content includes:


  • Overview of recent developments in macroeconomic modelling

  • Foundations of general equilibrium models

  • The Basics of Matlab

  • Construction of the Real Business Cycle (RBC) model

  • Calibration of GE Models

  • A tractable GE model

  • Current developments of macroeconomic models


Assessment pattern

Assessment type Unit of assessment Weighting
Coursework COURSEWORK (COMPUTATIONS AND ESSAY) 30
Examination Online FINAL EXAMINATION 70

Alternative Assessment

NA

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate that they have achieved the module’s learning outcomes and, by association, developed their digital capabilities and employability, among other module attributes. 

Thus, the summative assessment for this module consists of:


  • A take-home coursework project consisting of an essay and modelling exercise connected to learning outcomes 1, 2 and 4 

  • A final exam, which is connected to all learning outcomes 



Formative Assessment and Feedback

Students receive verbal feedback on their answers to questions during the lectures. They are also encouraged to attend the designated student consultation hours so that they can receive further verbal feedback on their understanding and progress.

Module aims

  •  Apply key microeconomic mathematical techniques in a macroeconomic context
  •  Explain and discuss the construction and estimation of GE models
  •  Apply these models to macroeconomics problems
  •  Introduce  some of the strengths and weaknesses of GE models
  •  Enable the students to follow the relevant literature

Learning outcomes

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

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

The learning and teaching methods  are as follows:


  • Lectures, which are recorded and disseminated as captured content

  • Tutorials

  • Guided learning



 

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: ECOM047

Other information

In line with the University's curriculum framework, the School of Economics is committed to developing graduates with strengths in Employability, Digital Capabilities, Global and Cultural Capabilities, Sustainability and Resourcefulness and Resilience. This module is designed to allow students to develop knowledge, skills, and capabilities in the following areas:

Digital Capabilities

Students in this module will learn how to use software package Matlab to carry out numerical solution and simulation of modern macroeconomic models.

Employability

This module will provide students with skills for placement at Central Banks, Investment Banks and Academia. The material covers research methods at the frontier of macroeconomic policy. Lecture and class sessions are designed to go over practical exercises and provide students with the opportunity to apply their knowledge to real-life examples used in the sector.

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
Economics (International Economics) MSc 2 Optional A weighted aggregate mark of 50% is required to pass the module
Economics (Macroeconomics and Financial Markets) 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 2023/4 academic year.