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Panel-data Analysis using Stata

[3 half days] - [starts on 05-05-2022 at 09:30] - [English] - [Louvain-la-Neuve]

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.


Training aims

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 to implement most commonly used linear panel-data estimators. The last half-day will also include an introduction to estimators for dynamic linear models (which include lagged dependent variables).

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

Content

We will apply the theoretical content with exercises in Stata.

Location
Louvain-la-Neuve : SOCRATE 030 - Find the location on Google Maps
(This is an air-conditioned room so please cover yourself!)
- Place du Cardinal Mercier, 10-12 - Rez-de-chaussée -

Attendance
Cette formation est accessible à tous moyennant une inscription préalable.

Time slots for training
05-05-2022 from 09:30 to 16:30
06-05-2022 from 09:30 to 12:30

Rate
UCLouvain member (with an internal account), UCLouvain clinic member, UCLouvain student : Training available free of charge but registration in advance is required.
Administrative fees will be applied in case of late cancellation.
Invoice paid by a Belgian university : 160 euros per day for a total of 240 euros
Non-UCLouvain member : 200 euros per day for a total of 300 euros

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