ECON20040 Statistics for Economists

Academic Year 2022/2023

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.

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Curricular information is subject to change

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
Confidence intervals and hypothesis testing

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning








Approaches to Teaching and Learning:
Attend lectures. Do the problem sets. That is all. 
Requirements, Exclusions and Recommendations
Learning Requirements:

ECON10030 Introduction to Quantitative Techniques or equivalent

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

Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Class Test: In semester MCQ test Unspecified n/a Alternative linear conversion grade scale 40% No


Examination: End of semester written exam 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No


Carry forward of passed components
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

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