ULMS Electronic Module Catalogue
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Advanced Macroeconomic Theory
Code ECON843
Coordinator Dr A Marchesiani
Economics
A.Marchesiani@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2019-20 Level 7 FHEQ Second Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):
 

Modules for which this module is a pre-requisite:
 

Programme(s) (including Year of Study) to which this module is available on a required basis:
 

Programme(s) (including Year of Study) to which this module is available on an optional basis:
 

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 24

 5

         29
Timetable (if known)              
Private Study 121
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Assessment 1 There is a resit opportunity. Standard UoL penalty applies for late submission. Assessment Schedule (When) :2  2 hours. Resit exam     80       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Assessment 2 There is a resit opportunity. Standard UoL penalty applies for late submission. Assessment Schedule (When) :2  1 hour. Resit exam i    20       

Aims

To introduce students to advanced macroeconomic models;

To provide students with the analytical skills to proceed to professional research should they continue with their studies.


Learning Outcomes

(LO1) Students should be able to solve advanced analytical problems which appear frequently in macroeconomic theory;

(LO2) Students should feel comfortable using economic models and be able to read academic research papers which use such models. 

(S1) Students will acquire the ability to think analytically and to reason using mathematical expressions.

(S2) Students will understand how to formulate and solve advanced economic models.

Teaching and Learning Strategies

Teaching Method 1 - Lecture
Description:
Attendance Recorded: Not yet decided

Teaching Method 2 - Seminar
Description:
Attendance Recorded: Not yet decided

Syllabus
 

Classical growth theory;

Schumpeterian growth theory;

Skill-biased technical change;

Classical approaches of modelling money;

Search-and-matching approach of modelling money;

Search-and-matching approach of modelling unemployment.

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.