This module is designed to integrate the elements of applied economics - theory, data and statistical inference - so that students acquire the theoretical understanding and the practical skills necessary to analyse actual economic phenomena. The module aims at providing the foundations for the use of statistical techniques to analyse and interpret real-life economic problems and data. Topics covered include: statistical inference, analysis of variance, correlation and regression. The module will train students in the efficient use of Microsoft Excel and the application of basic statistical techniques to relevant empirical examples, such as inequality, poverty, happiness and crime.
Learning Outcomes
By the end of the module students should be able to:
demonstrate knowledge and understanding of basic statistical methods
apply economic knowledge to real world data;
use Microsoft Excel to manipulate, analyse and display economic data in graphical form.
Assessment
30385-01 : MCQ Class Test : Coursework (40%)
30385-02 : Problem Set : Coursework (30%)
30385-03 : Group Project : Exam (Centrally Timetabled) - Written Unseen (30%)
Assessment Methods & Exceptions
Assessment: Class test (40%), Problem Set (individual coursework) (30%) and Group project (group coursework) (30%) Reassessment: by failed element