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Module

ECO2009 : Econometric Analysis

  • Offered for Year: 2020/21
  • Module Leader(s): Dr Jonathan Jones
  • Demonstrator: Dr Pascal Stiefenhofer, Dr Riikka Savolainen
  • Lecturer: Dr Marco Lorusso
  • Owning School: Newcastle University Business School
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
Semester 2 Credit Value: 10
ECTS Credits: 10.0

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.       Multicollinearity
10.       Heteroscedasticity
11.       Autocorrelation
12.       Model Specification

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 materials361:0036:0018 non-synchronous lectures equating to 36 student learning hours
Structured Guided LearningAcademic skills activities181:0018:009 non-synchronous structured learning activities equating to 18 student learning hours
Scheduled Learning And Teaching ActivitiesSmall group teaching61:006:006 timetabled synchronous small group teaching sessions equating to 6 learning hours
Scheduled Learning And Teaching ActivitiesWorkshops31:003:003 timetabled synchronous computer workshops equating to 3 learning hours
Scheduled Learning And Teaching ActivitiesDrop-in/surgery51:005:00Synchronous, online - Q&A
Guided Independent StudyIndependent study1132:00132:00Reading, enhancing lecture notes, seminar and workshop preparation, group project work, revision.
Total200:00
Teaching Rationale And Relationship

Lectures and Academic Skills Activities 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

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
Written Examination1202A70N/A
Other Assessment
Description Semester When Set Percentage Comment
Report2M302000 word group report - data and questions provided
Formative Assessments
Description Semester When Set Comment
Prob solv exercises1MSeminar questions provided
Prob solv exercises2MSeminar questions provided
Assessment Rationale And Relationship

The group project is undertaken ins 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 computer based elements of the course as well as that of empirical modelling methods.

Reading Lists

Timetable