The German Research Foundation (DFG) has approved the project proposal "Explaining nonresponse and countering nonresponse bias in self-administered panel surveys" under the direction of Prof. Dr. Jannis Kück.
The aim of the project is to contribute to the explanation of non-response in panel surveys and to develop methods to determine the bias of estimators due to non-response bias. Building on this, algorithms based on machine learning methods will be developed to find optimal incentives/treatments that reduce non-response bias. The so-called "double machine learning" will be applied to panel data.
In collaboration with Barbara Felderer vom GESIS - Leibniz-Institut für Sozialwissenschaften and Martin Spindler von der Universität Hamburg, the project will run for 36 months and includes funding for a post-doctoral position at DICE.