Quantitative Economics 2

As taught Autumn Semester 2010
Dr Fabrice Defever, School of Economics

The module introduces those statistical methods and concepts most applicable in economics. There are no pre-requisites: In particular, no previous knowledge of statistics will be assumed. The analysis of economic data necessarily proceeds in an environment where there is uncertainty about the processes that generated the data. Statistical methods provide a framework for understanding and characterising this uncertainty.

These concepts are most conveniently introduced through the analysis of single-variable problems. However, economists are most often concerned about relationships among variables. The module builds towards the study of regression analysis, which is often applied by economists in studying such relationships.

Module Code: L11206

Year: 2010/11

Suitable for study at: undergraduate level 1

Credits: 15

Method and Frequency of Class: 3 x 1 hour lectures per week, 1 x 1 hour tutorial per week

Target Students: Economics students only. Available to JYA/Erasmus students. Students are reminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice.

Prerequisites: Module L11106 Quantitative Economics I

Corequisites: None

Offering School: Economics