Module Catalogue

ECO2009 : Econometric Analysis

  • Offered for Year: 2024/25
  • Available to incoming Study Abroad and Exchange students
  • Module Leader(s): Dr Chris Walsh
  • Co-Module Leader: Dr Lena Janys
  • Owning School: Newcastle University Business School
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 10
Semester 2 Credit Value: 10
ECTS Credits: 10.0
European Credit Transfer System

Aims

The course Econometric Analysis provides students with a grounding in basic econometric methods. The techniques learnt in the course are part of an economist's essential 'tool kit'. It will provide students with an understanding of the basic techniques of multiple regression analysis and enable them to interpret and critically evaluate the results of empirical research in economics.

Outline Of Syllabus

The topics in semester 1 concentrate on single and multiple equation regression models and the application of Ordinary Least Squares (OLS) regression analysis:
1.       Ordinary Least Squares (OLS) Model: Background and Estimation
2.       Assumption of the OLS model
3.       Properties of the OLS model: Unbiasedness and Efficiency
4.       Hypothesis Testing
5.       Goodness of Fit and Analysis of Variance
6.       Functional Forms of Regression Models
7.       Multiple Regression Analysis
8.       Dummy Variables

The topics in semester 2 concentrate on the implications of OLS regression analysis when the assumptions of the OLS model (covered in semester 1) are relaxed. An understanding of the semester 1 material is therefore essential to the understanding of the material to be covered in semester 2:
9. Model Specification
10. Heteroscedasticity
11. Autocorrelation
12. Introduction to Time Series Analysis

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture281:0028:00PiP lectures
Scheduled Learning And Teaching ActivitiesSmall group teaching51:005:00PiP seminars
Scheduled Learning And Teaching ActivitiesWorkshops31:003:00PiP computer workshops
Guided Independent StudyIndependent study1164:00164:00Reading, enhancing lecture notes, seminar and workshop preparation, group project work, revision.
Total200:00
Teaching Rationale And Relationship

Lectures provide the basic technical structure of the methods introduced and an overview of the basic empirical modelling methods.

Small group teaching provide an opportunity to enhance both theoretical and practical aspects of modelling.

Workshops provide computer based experience of modelling exercises.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1202A70N/A
Other Assessment
Description Semester When Set Percentage Comment
Report2M302000 word group report - data and questions provided
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Prob solv exercises1MSeminar questions provided
Prob solv exercises2MSeminar questions provided
Assessment Rationale And Relationship

The group project is undertaken in semester 2 and completed towards the end of the course, reinforces computer skills, develops teamwork and aids final preparation for the unseen examination.

The examination tests understanding of the theoretical modelling elements of the course as well as that of empirical modelling methods. It is the appropriate way of assessing theoretical knowledge. Alternative examination of 24 hour online take-home exam in the event of in-person assessments not taking place.

Reading Lists

Timetable