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Panel-data Analysis using Stata

[3 demi jours] - [Anglais]

Longitudinal surveys, that follow individuals over several periods of time, are becoming increasingly popular in social sciences. The main reason is that they offer a particular setting that researchers can use to control for some types of unobserved variables bias.


The mixed models are a family of models with both fixed and random effects. They make it possible to take into account the correlation between several observations, in particular the longitudinal aspect of the data.


Formations de ce type à venir :

Panel-data Analysis using Stata [Anglais]
[3 demi jours] - [débute le 07-05-2020 à 09:30]
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Objectifs de la formation
This course provides an introduction to the analysis of panel-data. At the end of the training, participants will be able to use Stata effectively for manipulating and analyzing panel-datasets, to understand the error components model and the issue of unobserved heterogeneity, and finally to implement most commonly used linear panel-data estimators.

Prérequis
By registering for this training, you commit to a level of knowledge equivalent to the following training(s):
Data management and analysis using Stata

Contenu

We will apply the theoretical content with exercises in Stata.

Outils utilisés durant la formation
Stata

Méthodes et familles de méthodes abordées
Data processing
   Data set cleaning and processing for statistical analysis
Descriptive statistics
   Descriptive statistics
   Summary tables
Regression model
   Multiple linear regression
Mixed models
   Linear mixed model


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