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 
Prerequisites 

Corequisites 

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; nonparametric 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 
2919202 : Exam : Exam (Centrally Timetabled)  Written Unseen (100%)

Assessment Methods & Exceptions  Assessments: 1hour test (20%), 2hour examination (80%)
Reassessment: 2hour examination (100%)

Other  
Reading List 
