Course Details in 2019/20 Session

Module Title	LI Mathematical Statistics for Economics
School	Birmingham Business School
Department	Birmingham Business School
Module Code	08 29192
Module Lead	Dr Ioannis Karavias
Level	Intermediate Level
Credits	10
Semester	Semester 1
Pre-requisites
Co-requisites
Restrictions	Available to all students who have been allowed onto the second year of a degree programme for which it is a compulsory module or who have passed Advanced Mathematics for Economics
Exclusions
Description	The module is designed for students studying economics and related subjects, who are already familiar with some fundamental statistical ideas and methods. It aims to provide economists with a broad knowledge of the different problems of statistics, the concepts that are used to think about them, the methods that are used to try to solve them, and the historical origins of each of these. Where possible we will choose examples of statistical problems in economic contexts. Examples of subjects which may be chosen for discussion are: the history of statistics; statistical decision theory; Bayesian methods; classical inference; classical estimation; likelihood theory; non-parametric statistics; bootstrap methods. Probability distributions will be studied to the extent the above topics require.
Learning Outcomes	By the end of the module students should be able to: demonstrate a critical knowledge and understanding of the context, terminology, and methods associated with standard statistical problems arising in economics and related subjects; apply such terminology and methods to the analysis of problems within specific statistical areas; show a systematic understanding of the major concepts of statistics as an outcome of their historical development.
Assessment	29192-02 : Exam : Exam (Centrally Timetabled) - Written Unseen (100%)
Assessment Methods & Exceptions	Assessments: 2-hour examination (100%) Reassessment: 2-hour examination (100%)
Other
Reading List