This thesis consists of three self-contained chapters.
The first chapter, which is joint work with Enno Mammen and Ralf A. Wilke, proposes and implements a new estimation approach to estimate an unknown group structure within a linear fixed effects panel model. We estimate the group structure by combining unsupervised and supervised statistical learning techniques. In the second chapter I analyze regional dynamic patterns of the COVID-19 pandemic with dynamic time warping. Further, the chapter studies whether connected regions have similar patterns. In Chapter 3, which is joint work with Christina Gathmann and Terry Gregory, we estimate the effect of a minimum wage introduction on the capital-intensity of treated firms.
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