Programme And Module Handbook
Course Details in 2019/20 Session

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Module Title LI Mathematical Statistics for Economics
SchoolBirmingham Business School
Department Birmingham Business School
Module Code 08 29192
Module Lead Dr Ioannis Karavias
Level Intermediate Level
Credits 10
Semester Semester 1
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
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%)
Reading List