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ECON20040

Academic Year 2024/2025

Statistics for Economists (ECON20040)

Subject:
Economics
College:
Social Sciences & Law
School:
Economics
Level:
2 (Intermediate)
Credits:
5
Module Coordinator:
Assoc Professor Kanika Kapur
Trimester:
Autumn and Spring (separate)
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module introduces the main techniques of statistics as used in economics. Students will be introduced to numerical and graphical techniques for representing data. The course outlines the use of simple linear regression, the basic tool of empirical economics. Following a revision of basic probability theory, the use of probability distributions of random variables will be covered. The final part of the course covers the theory of estimation, statistical inference and hypothesis testing. There will be regular exercise sheets for self-assessment.

About this Module

Learning Outcomes:

On completion of this module students should be able to (i) present and summarise data, (ii) apply statistical methods to economic analysis (and other areas of life); (iii) recognise how statistics can be sometimes misleading; (iv) employ basic econometric tools.

Indicative Module Content:

Summary Statistics
Visual display of data
Regression
Confidence intervals and hypothesis testing

Student Effort Hours:
Student Effort Type Hours
Lectures

22
Tutorial

5
Autonomous Student Learning

80
Total

107

Approaches to Teaching and Learning:
Attend lectures and tutorials. Do the problem sets. AI tools may be used by students to assist their independent learning. All assessments will be closed-book (with no access to AI) in exam centres/classrooms.

Requirements, Exclusions and Recommendations
Learning Requirements:

ECON10030 Introduction to Quantitative Techniques or equivalent


Module Requisites and Incompatibles
Incompatibles:
ECON10750 - Statistics for Economics (SH), ECON10800 - Stats Methods for Economists, ECON42480 - Statistics HDip, MIS10090 - Data Analysis: Decision Makers, STAT10060 - Statistical Modelling, STAT10420 - Intro Actuarial & Fin Studies


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): Written final exam End of trimester
Duration:
2 hr(s)
 Alternative linear conversion grade scale 40% No
70
 No
Quizzes/Short Exercises: Midterm MCQ Week 6 Alternative linear conversion grade scale 40% No
30
 No

Carry forward of passed components
No
 

Remediation Type Remediation Timing
Repeat Within Two Trimesters
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Online automated feedback

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr Gavin Cassells Tutor

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 Thurs 14:00 - 14:50
Autumn Tutorial Offering 1 Week(s) - 3, 5, 7, 10, 12 Wed 09:00 - 09:50
Autumn Lecture Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 Wed 11:00 - 11:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 30, 31, 32, 33 Fri 14:00 - 14:50
Spring Tutorial Offering 1 Week(s) - 22, 24, 26, 30, 33 Tues 13:00 - 13:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 16:00 - 16:50
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