- Offered for Year: 2020/21
- Module Leader(s): Dr Grega Smrkolj
- Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
Semesters
|
Semester 2 Credit Value:
|
10
|
|
ECTS Credits:
|
5.0
|
Aims
To develop an understanding of estimation and inference as a foundation for applied economics.
Original Summary:
This module is an introduction to statistics and date manipulation for economists and disciplines related to economics. The course considers the basics of data analysis, how do 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
Graphical analysis
Correlation
Simple regression
Interpretation
An introduction to Stata
Teaching Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
Teaching Activities
| Category |
Activity |
Number |
Length |
Student Hours |
Comment |
|---|
| Structured Guided Learning | Lecture materials | 9 | 2:00 | 18:00 | 9 non-synchronous lecture hours equating to 18 student learner hours |
| Structured Guided Learning | Academic skills activities | 4 | 2:00 | 8:00 | 4 X 1 hour sessions |
| Scheduled Learning And Teaching Activities | Small group teaching | 3 | 1:00 | 3:00 | 3 seminars |
| Scheduled Learning And Teaching Activities | Workshops | 3 | 1:00 | 3:00 | 3 PC classes |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 2 | 1:00 | 2:00 | N/A |
| Guided Independent Study | Independent study | 66 | 1:00 | 66:00 | (Reading, enhancing lecture notes, seminar and workshop preparation, group project work, revision) |
| Total | | | | 100:00 | |
Jointly Taught With
| Code |
Title |
|---|
| ECO1007 | Statistical Methods for Economics |
Teaching Rationale And Relationship
Lectures deliver main concepts
Seminars and workshops give the opportunity to work through example problems
Assessment Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
The format of resits will be determined by the Board of Examiners
Exams
| Description |
Length |
Semester |
When Set |
Percentage |
Comment |
|---|
| PC Examination | 60 | 2 | A | 50 | 24 hr take home exam. There will be a 24 hr window to take the PC exam but once started it must be completed within 60 minutes. |
Exam Pairings
| Module Code |
Module Title |
Semester |
Comment |
|---|
| ECO1007 | Statistical Methods for Economics | 2 | N/A |
Exam Pairing Resits
| Module Code |
Module Title |
Comment |
|---|
| ECO1007 | Statistical Methods for Economics | N/A |
Other Assessment
| Description |
Semester |
When Set |
Percentage |
Comment |
|---|
| Report | 2 | M | 50 | Group Project - 2000 words (with peer review) |
Formative Assessments
Assessment Rationale And Relationship
Exam ensures learning of theoretical methods
Group project demonstrates that students can analyse and interpret real world data.
Reading Lists
Timetable
