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:

  • 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

Assessment:

  • 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

  1. The different sources of endogeneity and the consequences for the properties of estimators
  2. Estimation methods
  3. Synthetic ordering that allows for these different sources to be considered in a single model
  4. 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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