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 Applied Macroeconometrics
Code ECON920
Coordinator Dr R Bu
Economics
Ruijunbu@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2021-22 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 12

 6

       12

6

 36
Timetable (if known) 60 mins X 1 totaling 12
  		60 mins X 1 totaling 6
  		      60 mins X 1 totaling 12
60 mins X 1 totaling 6
  		 
Private Study 114
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Examination. There is a resit opportunity. Standard UoL penalty applies for late submission. Marked anonymously Assessment Schedule (When): 2  24 hours    70       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Group project. There is a resit opportunity. Standard UoL penalty applies for late submission. Marked anonymously Assessment Schedule (When): 2  -3000 words    30       

Aims

The aim of this module is to build on the first semester econometrics module and give the student an understanding of more advanced econometric and statistical methods suitable for analysing financial and macroeconomic data series. Extensive use will be made of the econometrics package EViews in lab-based tutorials to supplement the theory with applications and to provide hands-on experience. The aims are that the students will:

Understand the main tools of modern econometric techniques for analysing financial and macroeconomic data.

Understand the assumptions and limitations.

Be confident in the use of an econometric computer programme (EViews) for a range of methods and applications.

Learning Outcomes

(LO1) Formulate and estimate time series models;

(LO2) Use time series models for testing economic theories and making economic forecasts.

(LO3) Perform all the calculations required via EVIEWS.

(LO4) Understand and be able to interpret time series models estimated from EVIEWS.

(S1) Problem solving

(S2) Numeracy

(S3) Communication skills

(S4) Teamwork

Teaching and Learning Strategies

Hybrid delivery, with social distancing on campus.

1 hour online asynchronous learning per week x 12 weeks
1 hour face-to-face synchronous lecture per week x 12 weeks
1 hour face-to-face seminar every other week x 6 weeks
1 hour face-to-face peer-to-peer learning every other week (unscheduled) x 6 weeks
Self-directed learning x 114 hours

Syllabus
 

Univariate time series models;

Stationary time series models;

Nonstationary time series models;

Testing for nonstationarity and stationarity;

Conditional heteroscedasticity models;

Applications to Financial and Macroeconomic Data (Case Studies);

Multivariate time series models;

Autoregressive distributed lag models;

Vector autoregressive models;

Cointegration and error correction mechanism;

Testing for cointegration;

Applications to Financial and Macroeconomic Data (Case Studies).

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