Panel data analysis using Stata (advanced part)

[2 half days] - [English]

Are you conducting a longitudinal survey? Do you want to learn how to analyse panel data in the specific case of dynamic and binary outcome models?

Regression is a group of statistical methods used to model the relation between the response variable (dependent, endogenous, etc.) and one or more explanatory variables (independent, exogenous, etc.).

Training aims
This course provides tools for the analysis of panel-data in the case of dynamic and binary outcome models.

Prerequisites
By registering for this training, you commit to a level of knowledge equivalent to the following training(s):

Panel data analysis using Stata

Content

• Dynamic panel-data: model structure and assumptions, traditional estimators, IV estimation, difference GMM and system GMM estimations.

• Binary outcome panel-data: probit and tobit estimations.

• Post-estimation: tests for valid inference and comparison of estimators.

We will apply the theoretical content with exercises in Stata.

Rate
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)
IABE logo

Tools used during training
Stata

Methods and method families discussed
Regression model
Logistic regression
Nonlinear regression

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