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 | INTRODUCTORY ECONOMETRICS FOR BUSINESS AND ECONOMICS | ||
Code | ECON233 | ||
Coordinator |
Dr Y Li Economics Yuyi.Li@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2020-21 | Level 5 FHEQ | First 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 |
24 12 |
48 | ||||
Timetable (if known) |
120 mins X 1 totaling 24
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Private Study | 102 | ||||||
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 (Online) Assessment Type: Written Exam Duration: 72 hours (Expected completion time is 2 hours under normal circumstances) Weighting: 70% Reassessment | 72 hours (Expected c | 70 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment 1: Online MCQs Assessment Type: Coursework Size: 30 minutes per test (Approx: 10 questions per test) Weighting: 30% Reassessment Opportunity: Yes Penalty for Late Submission: St | 30 minutes per test | 30 |
Aims |
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The aims of the module are as follows: To learn some basic econometric concepts and modelling theory (non-technical) |
Learning Outcomes |
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(LO1) Students will be able to understand basic econometric modelling and hypothesis testing techniques. |
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(LO2) Students will be able to interpret econometric analysis outputs. |
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(LO3) Students will be able to predict using simple fitted models and observed data. |
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(LO4) Students will be able to appreciate the use some computer packages to conduct econometric analysis on economics or business data. |
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(S1) Problem solving skills |
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(S2) Numeracy |
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(S3) Commercial awareness |
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(S4) Communication skills |
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(S5) IT skills |
Teaching and Learning Strategies |
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Teaching Delivery: Mixed, hybrid delivery with social distancing on campus. Teaching Method: Online Asynchronous Learning Materials Teaching Method: Group Study Self-Directed Learning Hours: 102 Costs Information: There are the following non-modular requirements: This module is a pre-requisite for the following modules: Skill/Other Attribute 1: IT skills Skill/Other Attribute 2: Communication skills Skill/Other Attr
ibute 3: Commercial awareness Skill/Other Attribute 4: Numeracy Skill/Other Attribute 5: Problem solving skills |
Syllabus |
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1. Simple linear regression |
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. |