Current energy projections often envision an expansion of nuclear capacities to decarbonize future energy systems. However, this contrasts with the historic and current status of the nuclear industry, marked by techno-economic challenges for both light-water and non-light-water reactor technologies. Regardless, projections of strong nuclear growth have persisted since the 1970s. This paper investigates ...
Exploiting the heteroskedasticity of the changes in short-term and long-term interest rates and exchange rates around the FOMC announcement, we identify three structural monetary policy shocks. We eliminate the predictable part of the shocks and study their effects on financial variables and macro variables. The first shock resembles a conventional monetary policy shock, and the second resembles an ...
Arrivals of crises often trigger public appeals from policy leaders, attempting to encourage crisis-mitigating behaviors. We ask whether the tone of an appeal changes its effectiveness, and to what extent policymakers know what tone to use. Using a controlled experiment in a large, general-population sample, we first study the impact of appeals and of their emotional tone on contributions to a well-defined ...
Am 6. Juni 2026 luden etwa 60 wissenschaftliche Einrichtungen in Berlin zu spektakulären Experimenten, spannenden Vorträgen, Wissenschaftsshows und Laborführungen ein und gaben so Besucher*innen die Möglichkeit, hinter die Kulissen zu schauen. Die 26. Lange Nacht der Wissenschaften hat rund 30.000 Besucher*innen in die Hörsäle, Labore und Forschungseinrichtungen der Hauptstadt gezogen. An mehr als...
Die KI-Gefahr droht nicht nur durch Fakes und Jobverlust, sondern durch eine neue Machtökonomie. Es droht ein Kipppunkt für unsere Gesellschaft. Was jetzt geschehen muss. Der größte Irrtum in der Debatte über künstliche Intelligenz (KI) ist die Annahme, es gehe vor allem um Innovation, Produktivität und Wettbewerbsfähigkeit. Das ist auch ein wichtiger Teil und KI bietet riesige Chancen – um dies vorab ...
I study optimal implementation of climate targets in a model with distortionary fiscal policy, learning-by-doing, and directed technical change. The key mechanism is that fiscal constraints link innovation policy to labor allocation, creating a tension between directing research and directing learning-by-doing. Analytically, I show that learning-by-doing shapes the effectiveness of carbon taxation ...
