Here you can find the trainings IWH-CompNet are making available to the productivity boards and CompNet members.

Through these trainings, users will gain expertise in the use of the CompNet database as well as the CompNet Reduced Dataset. The IWH-Compnet provides training in two modalities: self-guided, and directed.

The self-guided program is designed to allow users to take the course in their own time and at their desired pace. There are three self-guided courses: Beginners, Intermediate, and Advanced. This course is currently based on the 8th vintage of the CompNet database.

They will take the user from a basic introduction to the data, to more advanced exercises. The user will become familiar with the structure of the data, the variables, and how to combine them to create a report – including charts and regression output.

The directed program will provide theme specific training, for example, in the analysis of business dynamism, and market concentration. These courses will be developed as the need arises.

In addition, trainings in the use of the MDI infrastructure are offered in the form of documentation, reports and guided learning. These will be made available as needed and as National Productivity Boards get access to the confidential microdata in collaboration with their National Statistical Offices. 

Training Events at Tinbergen Institute in Amsterdam (Summer School)

The summer school welcomes second year (research) master students, PhD students, post-docs, and professionals from a wide variety of fields (e.g. macro, applied micro, industrial organization, international trade, labor, empirical finance, regional and urban) who are interested in learning state-of-the art methods for (cross-country) firm-level panel data analysis.

This course provides a self-contained set of lectures to bring Master's and PhD students as well as practitioners up to speed in the area of empirical research using firm-level data. The course starts with an introduction to models of firm dynamics and innovation. Next, attention is paid to estimation of productivity, including methods to cope with sample selection, endogeneity of inputs, and lack of firm-level quality adjusted prices.

The insights from production function estimation are used to develop a framework to estimate markups using the so-called production approach. This framework is used to discuss the recent debate around rising market power. Finally, the course discusses recent empirical work on structural modeling of productivity, trade and growth. Besides theory, the course will include a set of lectures on data handling, programming, and algorithms for empirical applications, as well as daily hands-on practical sessions. 
The Course serves as a training activity of CompNet and is open to its members and participating institutions.