Panel Data Analysis

This course is offered as part of the Radboud Summer School in Social Research Methods, in collaboration with MethodsNET (a global network that offers excellent training in social research methods).

In this course you will learn the fundamentals of panel data analysis. The course starts with basic models and extends to dynamic models and multilevel panel data.

Course leader

Rutger Schilpzand
Lecturer and junior researcher
Department of Economics
Radboud University

Target group

-Master
-PhD
-Post-doc
-Professional

This PhD level course is open to all researchers aiming at bringing their research to the next level. It is particularly designed for those who are interested in panel data analysis with an emphasis on understanding the benefits and limitations. This course provides a practical view on the applications of different models, we do not delve into mathematical derivations.

Course aim

After this course you are able to:

-to work with panel datasets
-understand the benefits and limitations of panel data, and apply methods to address issues if necessary
-detect and deal with time-series problems within panel data
-apply and analyse a combination of multilevel and panel data

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)