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Module

ECO1009 : Analysing Economic Data

  • 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 LearningLecture materials92:0018:009 non-synchronous lecture hours equating to 18 student learner hours
Structured Guided LearningAcademic skills activities42:008:004 X 1 hour sessions
Scheduled Learning And Teaching ActivitiesSmall group teaching31:003:003 seminars
Scheduled Learning And Teaching ActivitiesWorkshops31:003:003 PC classes
Scheduled Learning And Teaching ActivitiesDrop-in/surgery21:002:00N/A
Guided Independent StudyIndependent study661:0066:00(Reading, enhancing lecture notes, seminar and workshop preparation, group project work, revision)
Total100:00
Jointly Taught With
Code Title
ECO1007Statistical 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 Examination602A5024 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
ECO1007Statistical Methods for Economics2N/A
Exam Pairing Resits
Module Code Module Title Comment
ECO1007Statistical Methods for EconomicsN/A
Other Assessment
Description Semester When Set Percentage Comment
Report2M50Group Project - 2000 words (with peer review)
Formative Assessments
Description Semester When Set Comment
Prob solv exercises1MIn class test
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