Doctoral Course - Research Methods (Part 3) : Quantitative Research Methods

The course Research Methods is divided in three parts :  

Part 1 : Advanced Discrete Optimization (Daniele Catanzaro) 

Part 2: Qualitative Research Methods (Laurent Taskin)

Part 3: Quantitative Research Methods (Vincenzo Verardi)

If you register and pass for the block of 3 courses => 10 credits
If you choose and pass the courses separately => 3 credits each

Description

• Revision of linear regression models (least squares, inference, bootstrap) 
• Maximum Likelihood estimation (location, scale and regression) 
• Qualitative dependent variable models (binary, polychoromous ordered and unordered, count) 
• Limited dependent variable regression (censoring and selection) 
• Panel data (pooled, fixed-effects, random effects, conditional fixed-effects logit, diff-in-diff) 
• An introduction to structural equation modelling SEM (latent variable, multilevel modelling)

See the full course description here