MG461 Half Unit
Quantitative Analysis in Management
This information is for the 2017/18 session.
Mr Fabian Waldinger NAB.5.36 and Mr Revi Panidha
This course is compulsory on the Executive Global MSc Management, Global MSc in Management (CEMS MIM) and Global MSc in Management (MBA Exchange). This course is available on the MPhil/ PhD in Employment Relations & Org Behaviour and MPhil/ PhD in Management. This course is not available as an outside option.
Topics include random sampling, central limit theorem, hypothesis testing, simple and multiple linear regression (including ideas of confounding and statistical control), the use of dummy variables, interactions and non-linear effects of explanatory variables, collinearity, diagnostics and model development, introductory logistic regression modelling, fixed effects regression, regression discontinuity design, instrumental variables.
20 hours of lectures and 13 hours and 30 minutes of computer workshops in the MT. 2 hours of lectures in the ST.
Students on this course will have a reading week in Week 6 of MT, in line with departmental policy
Weekly homework and data exercises with periodic formative feedback by Class Teachers. 250-word data analysis project.
Agresti, A., & B. Finlay. (2009). Statistical Methods for the Social Sciences (Fourth Edition). Pearson.
Angrist, J. and S. Pischke (2015). Mastering Metrics. Princeton
Exam (85%, duration: 2 hours, reading time: 15 minutes) in the main exam period.
Project (15%, 500 words) in the MT.
The project is a data analysis project.
Total students 2016/17: 114
Average class size 2016/17: 20
Controlled access 2016/17: Yes
Lecture capture used 2016/17: Yes (MT)
Value: Half Unit
Personal development skills
- Problem solving
- Application of numeracy skills
- Specialist skills