Stata ERM

Analysis
Data Science
Theoretical and applied statistics
On-site courses
Remote/Virtual
Face-to-face
English
French

Objectives

  • Learn to account for different sources of endogeneity in a regression model

Prerequisite

  • Good knowledge of the Stata software, robust knowledge in regression methods

Educational and technical material and resources

  • Dedicated digital training platform (LMS)
  • Lectures followed by practical exercises with real-life situations
  • Educational materials and applications in digital format provided
  • Possibility for trainees to work on their data

Assesment

  • Assesment questionnaire and/or test before the training course
  • Evaluation questionnaire

Expected results & skills at the end of the training

  • Be able to identify the sources of endogeneity, the consequences they may have, and the methods for dealing with the different forms considered in a single model

 

Program

3.5 hour module

  • The different sources of endogeneity and the consequences for the properties of estimators
  • Estimation methods
  • Synthetic ordering that allows for these different sources to be considered in a single model
  • Practical exercise

 

Duration
3 hours
Level
Advanced
Audience
Researchers wishing to master the treatment of endogeneity issues in a regression model
Participants
8 people maximum
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