Stata ERMHome Training Catalog Stata ERM Analysis Data Science Theoretical and applied statistics On-site courses Face-to-face Remote/Virtual 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 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 Download the full program Duration 3 hours Level Advanced Audience Researchers wishing to master the treatment of endogeneity issues in a regression model. Participants 8 people maximum Please contact us for a personnalized offer. Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content.
