The course is made for autonomous online learning. It is structured in three modules: Beginners, Intermediate and Advanced. Each of them requires a different level of background knowledge with regards to economic theory and Stata software. It is advisable to follow all three modules. Finally, in the Beginners module it is also provided an extra session to learn how to employ the reduced dataset in Excel and Stata.
The e-learning material of each module includes:&nb
Although the course is meant for autonomous learning, the CompNet staff will be available to answer technical questions and to receive feedback or suggestions, in order to help the data users to exploit this learning opportunity at their best.
The aim of the course is to learn how to use CompNet data to analyse competitiveness, by looking at different economic dynamics including productivity, financial conditions, international trade, labor, misallocation, market power, and other economic factors. The three modules touch upon the same topics going at a deeper level of analysis, by growing in analytical complexity from Beginners to Advanced. Before the three modules start, an introductory presentation explains the structure of the CompNet database:
The Beginners module is intended for CompNet first users with a limited knowledge of Stata, micro-data analysis and/or economic theory. The goal is to show how to download and open data using Stata, to make the user able to understand the basic structure of the database and to carry out some initial analysis, as well as aggregating data. The final output includes tables and charts at country, macrosectoral and 2-digit industry level. Stata .do files are prepared using the simplest commands, therefore a basic knowledge of Stata would be useful but is not required in this first session.
Tasks for Beginners:
The Intermediate module is minded for users who are familiar with the basic structure of the CompNet database and the micro-based economic analysis with Stata. It aims at showing some of the most common analyses which are typically implemented using CompNet for economic reports and working papers. Participants will deal with parametric and non-parametric variables coming from different data files. They will have the opportunity to take advantage of the database richness to understand the different trends across the firms’ distribution using statistical moments as well as joint distributions and transition matrices. Also, participants will perform some standard regressions and make more complex aggregation and charts for a richer visual representation. Rigorous definitions of the different variables’ parametric estimations are explained in the provided material, in order to make the users aware of the economic reasoning behind their usage.
Tasks for Intermediate:
To implement the training course and run the Stata codes, CompNet competitiveness data are needed and all researchers can apply to have access to them by submitting the data request form to the CompNet team via the IWH Research Data Centre.
The user is advised to start the course by consulting the introduction to CompNet and its database, at the following link:
Afterwards, the Beginners module presentation can be found at the following link:
The user is recommended to follow the module task by task, and reproduce the output of each task running the respective Stata .do file code. The Beginners module Stata .do file codes are available here:
After each task, the user is asked to do an assignment in order to undertake a similar analysis as in the respective task. First, it is suggested to follow the course task, then try to do the assignment by yourself before continuing the course. Solution codes are provided below:
If the user is interested in better understanding the reduced dataset, a specific module is available at the following link:
And the relative Stata .do file can be found here:
Subsequently, the Intermediate module presentation is available here:
The user is recommended to follow the same procedure as in the previous module. The Intermediate module Stata .do file codes are available here:
And the solution codes for the respective assignments can be found at the following links: