NBS8187 : Econometrics II

  • Offered for Year: 2011
  • Module Leader(s): Dr Markus Jochmann
  • Owning School: Newcastle University Business School
Semesters
Semester 2 Credit Value: 10

Aims

The module seeks to:
- advance the understanding on using recent advances in econometrics for testing theories in economics and finance
- provide technical skills necessary to pursue a wide range of empirical research in economics and finance;
- offer the opportunity to develop some advanced quantitative skills.

Original Summary:
The module comprises of three thematic units to cover a comprehensive set of essential material on univariate time series analysis, multivariate time-series analysis and panel data analysis

Outline Of Syllabus

Univariate Time Series Analysis, Multivariate Time Series Analysis, Panel Data Analysis

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Academic Staff Contact Hours Comment
Scheduled Learning And Teaching ActivitiesLecture141:0014:0014:00N/A
Scheduled Learning And Teaching ActivitiesPractical21:002:002:00N/A
Scheduled Learning And Teaching ActivitiesSmall group teaching21:002:004:00N/A
Guided Independent StudyIndependent study821:0082:000:00N/A
Total100:0020:00
Teaching Rationale And Relationship

-Lectures provide the fundamental technical structure of the methods introduced and an overview of the essential empirical economic and fincancial modelling methods
- Seminars provide an opportunity to enhance both theoretical and practical aspects of modelling
- Workshops provide hands-on computer based experience of modelling exercises.

Assessment Methods

Exams
Description Length Semester When Set Percentage Comment
Written Examination1202A80
Other Assessment
Description Semester When Set Percentage Comment
Project Work2M20Written Project word limit 2000 words
Assessment Rationale And Relationship

Written exam to assess the theoretical and empirical approach to econometrics.

Written project tests students' understanding of econometric methods and demonstrates that students can analyse and interpret real world data.

Reassessment will be 100% exam.

Reading Lists

Timetable