Sociological research is increasingly using panel data to examine changes in diverse outcomes over life course events. Most of these studies have one striking similarity: they analyse changes between yearly time intervals. In this paper, we present a simple but effective method to model such trajectories more precisely using available data. The approach exploits month-specific information regarding ...
We develop a structural vector autoregressive framework that combines external instruments and heteroskedasticity for identification of monetary policy shocks. We show that exploiting both types of information sharpens structural inference, allows testing the relevance and exogeneity condition for instruments separately using likelihood ratio tests, and facilitates the economic interpretation of the ...
Julia Rechlitz has successfully defended her dissertation on "Air Pollution Impacts and Energy Infrastructure Efficiency - Empirical Evidence with Official Micro Data". She was supervised by Prof. Dr. Christian von Hirschhausen. Congratulations!
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