Objectives

Quantitative Methods for Management presents the application of quantitative methods as a helping decision tool in business management and social context (marketing, finance…). At the end of the course, various methods should ensure an improved understanding of more complex dataset: hidden relationship between variables, data clustering, summarizing large dataset...

Contents

Statistical modeling methods:

• Review on regressions: multiple regression, OLS, t-tests, CI, F-test.
• Exponential family and logistic regression: MLE, LRT

Multivariate Analysis:

• Factor analysis, Principal Component Analysis, Confirmatory FA
• Cluster Analysis

Causal Analysis:

• Structural Equation Models.
• Causal graphs and instrumental variables

Other topics depending on the agenda

References

No mandatory reading. All relevant documents will be made available in class.

Evaluation

First attempt

Exam:

Written 2h00 hours

Documentation:

Allowed with restrictions

Calculator:

Allowed with restrictions

Evaluation:

• The course is evaluated based on one final written exam organized during the final exam session at the end of the semester.
• The final exam is 2 hours long.
• This is a closed book exam.
• The only authorized material consists of:
  • a personal summary of 3 A4 sheets (two-sided = 6 pages) and
  • the calculator as defined by the HEC “decanat” rules. Other smartphones and calculators are forbidden.

Retake

Exam:

Oral 0h15 minutes

Documentation:

Allowed

Calculator:

Allowed

Evaluation:

RETAKE SESSION 2020

Exceptional due to coronavirus and on-line exams

Oral exam of 15 minutes, with 15 minutes of preparation