ECO1007 : Statistical Methods for Economics
- Offered for Year: 2018/19
- Module Leader(s): Professor John Wildman
- Demonstrator: Mr Scott Kirkman, Mr Martin Enilov, Mr Morgan Beeson, Ms Saule Kemelbayeva
- Lecturer: Dr Volodymyr Bilotkach
- Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
Semester 1 Credit Value:
Semester 2 Credit Value:
To develop an understanding of basic probability theory, so that decision making under uncertainty can be analysed.
To develop and understanding of estimation and inference as a foundation for applied economics.
This module is an introduction to statistics and data manipulation for economists. The first semester of the course deals with the fundamental issues of statistics building from basic probability theory, through sampling, distributions, hypothesis testing and interpretation. A wide range of examples are considered. The second semester moves into data analysis - how we explore and analyse data. We use a variety of statistical methods to investigate and interpret real world data.
The module will also include an introduction to analytical software.
Outline Of Syllabus
Discrete and random variables
The normal distribution
An introduction to Stata
|Guided Independent Study||Assessment preparation and completion||1||59:00||59:00||N/A|
|Scheduled Learning And Teaching Activities||Lecture||29||1:00||29:00||N/A|
|Guided Independent Study||Directed research and reading||1||51:00||51:00||N/A|
|Scheduled Learning And Teaching Activities||Small group teaching||10||1:00||10:00||N/A|
|Guided Independent Study||Independent study||1||51:00||51:00||N/A|
Jointly Taught With
|ECO1009||Analysing Economic Data|
Teaching Rationale And Relationship
Lectures deliver main concepts
Seminars and workshops give the opportunity to work through example problems
The format of resits will be determined by the Board of Examiners
|Prof skill assessmnt||2||M||25||Group project|
Assessment Rationale And Relationship
Exam and in-class test ensures learning of theoretical methods
Group project demonstrates that students can analyse and interpret real world data