Global Opportunities

ECO1009 : Analysing Economic Data

Semester 2 Credit Value: 10
ECTS Credits: 5.0


To develop an understanding of statistical inference as a foundation for applied economics.

This module is an introduction to statistics and data analysis for economists and those in related disciplines. The module considers the basics of data analysis. We use a variety of statistical methods to investigate and interpret real world data. The module will also include an introduction to statistical software.

Outline Of Syllabus

Describing Data
Learning from Data
Graphical and Numerical Analysis of Data
Correlation versus Causation
Introduction to Regression Analysis
Multiple Regression
Statistical inference for Regression: Hypothesis Testing, Confidence Intervals, Prediction
Nonlinear Models
Estimation Problems
An introduction to Stata

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture82:0016:00PiP lectures
Guided Independent StudyAssessment preparation and completion130:0030:00N/A
Guided Independent StudyDirected research and reading130:0030:00N/A
Scheduled Learning And Teaching ActivitiesSmall group teaching51:005:00PiP PC labs
Guided Independent StudyIndependent study119:0019:00N/A
Jointly Taught With
Code Title
ECO1007Statistical Methods for Economics
Teaching Rationale And Relationship

Lectures deliver the main concepts.
PC labs provide students with an opportunity to enhance practical (computer-based) aspects of statistical analysis.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination602A50When social-distancing measures prevent PiP invigilated examinations, this will be an online, time-limited PC exam.
Exam Pairings
Module Code Module Title Semester Comment
ECO1007Statistical Methods for Economics2N/A
Exam Pairing Resits
Module Code Module Title Comment
ECO1007Statistical Methods for EconomicsN/A
Other Assessment
Description Semester When Set Percentage Comment
Report2M50Group Project - 2000 words (with peer review)
Formative Assessments
Description Semester When Set Comment
Prob solv exercises1MIn-class tests, Canvas quizzes, homework exercises
Assessment Rationale And Relationship

Written examination ensures learning of theoretical concepts and is an appropriate way to assess problem solving skills under the time constraint as required in industry.

Group project demonstrates that students can analyse and interpret real world data.

In the case of an alternative assessment for semester 2 (50% of the module mark) being necessary due to circumstances, the Module Leader will in discussion with the DPD and the University, discuss possible acceptable online alternatives, such as a take home exam delivered online with a set time limit to complete (24 hours or less as deemed appropriate).

Reading Lists