Mr Noam Yuchtman

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MiM) and Global MSc in Management (MBA Exchange). 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, 1 hour of lectures and 13 hours and 30 minutes of computer workshops in the MT. 2 hours of lectures in the ST.

The extra one hour of lecture referred to above takes place in week 5 and is intended to help students prepare for their assessments. 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 summer exam period.
Project (15%, 500 words) in the MT.

The project is a data analysis project.