This lab deals with common data management techniques with the STATA software.
During the course students will learn how to use Stata in a very practical manner by solving assignments and replicating analysis with production and formatting of tables as well as different types of graphs.
-Bittman F. STATA. A really short introduction, Berlin, De Gruyter
-Handouts distributed by the course convenor
Learning Objectives
After attending the course students will learn how to use Stata to implement data management techniques and to perform elementary data analysis (tabulations, graphs, simple maps etc.) in a very practical manner
Prerequisites
Basic statistics knowledges are welcomed although not strictly necessary
Teaching Methods
This lab is entirely taught in in the PCs lab with relatively simple examples in stata to consolidate the coding techniques illustrated in the class.
Further information
All module materials (handouts, stata training datasets and codes) are available on the Moodle platform. Please ask the convenor for the password
Type of Assessment
Final : a problem sets to be solved with stata ( time: 45-60 minutes)
Students are required to attend at least 60% of labs in order to get a pass.
Course program
The program includes the following issues: data management, commands to describe and summarize data, programming basics, mapping data using shapefiles, application to a LSMS or to a Luxembourg Income Study dataset.