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 | METHODS OF ECONOMIC INVESTIGATION 1: TIME SERIES ECONOMETRICS | ||
Code | ECON311 | ||
Coordinator |
Dr R Bu Economics Ruijunbu@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2023-24 | Level 6 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 |
6 |
30 | ||||
Timetable (if known) | |||||||
Private Study | 120 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment 2: Written Unseen Examination Assessment Type: Written Exam Duration: 2 hours Weighting: 80% Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL penalty app | 2 | 80 | ||||
Assessment 1: Mid-term test Assessment Type: Written Exam Duration: 1 hour Weighting: 20% Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL penalty applies Anonymou | 1 | 20 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Aims |
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The aim of this module is to give students an understanding of econometric time series methodology. The module will build upon the materials of ECON212 Basic Econometrics. Important extensions include volatility models of financial time series and multivariate (multiple equations) models such as vector error correction and related cointegrating error correction models. |
Learning Outcomes |
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(LO1) Specify and demonstratethe distributional characteristics of a range of time series models |
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(LO2) Estimate appropriate models for financial andeconomic time series for the purposes of forecasting andinference |
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(LO3) Understand a range ofunivariate and multivariate models of financial and economic time series processes. |
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(LO4) Applyunivariate and multivariate model selection and evaluation methods |
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(LO5) Understand theimplications of conditional heteroskedasticity, unit roots and cointegration in economic andfinancial time series analysis |
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(S1) Problem solving skills |
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(S2) Numeracy |
Teaching and Learning Strategies |
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Teaching Method: Lecture Teaching Method: Seminar Self-Directed Learning Hours: 120 Costs Information: There are the following non-modular requirements: Skills/Other Attributes Mapping Skills / attributes: Problem solving skills Skills / attributes: Numeracy |
Syllabus |
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Univariate Time Series Models Multivariate Time Series Models |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |