Slides

• Lecture 1:
• • Presentation, Objectives, and evaluation methods. What is a model? Application Limits and interpretation.  
  • Sampling and statistical tests

• Lecture 2: Multiple Linear Regression

• Lecture 3: Factor Analysis

• Lecture 4: Cluster Analysis

• Lecture 5: Generalized Linear Models (Part 1 | Part 2)

• Lecture 6: Panel Models (Part 1 | Part 2)

• Lecture 7: Discrete Choice Models (Part 1 | Part 2)

• Lecture 8: Ordered Choice Models

• Lecture 9: Hazard-Based Duration Models

Vídeos

• Lecture 1: Part 1 | Part 2 | Part 3 | Part 4 | Part 5
  

• Lecture 2

• Lecture 3
• Lecture 4
• Lecture 5
  
• Lecture 7: Part 1 | Part 2
• Lecture 8 (available soon)
  
• Lecture 9