Academics are increasingly expected to engage in public discussions. We study how engagement conditions affect academics’ engagement attitudes via a survey experiment among 4,091 tenured professors in Germany. Consistent with the crowding-out of intrinsic motivation, we find less-positive...

Academics are increasingly expected to engage in public discussions. We study how engagement conditions affect academics’ engagement attitudes via a survey experiment among 4,091 tenured professors in Germany. Consistent with the crowding-out of intrinsic motivation, we find lesspositive...

Academics are increasingly expected to engage in public discussions. We study how engagement conditions affect academics' engagement attitudes via a survey experiment among 4,091 tenured professors in Germany. Consistent with the crowding-out of intrinsic motivation, we find less-positive...

Academics are increasingly expected to engage in public discussions. We study how engagement conditions affect academics' engagement attitudes via a survey experiment among 4,091 tenured professors in Germany. Consistent with the crowding-out of intrinsic motivation, we find less-positive...

Forschungsleistungen sind nicht unabhängig von den gegebenen institutionellen Rahmenbedingungen. Auf Basis der personellen und finanziellen Ausstattung sowie der Lehrbelastung identifizieren wir sechs Gruppen der universitären Wirtschaftswissenschaften in Deutschland. Für diese vergleichen...

In line with the growing relevance of higher education and science for societal development and innovation processes, there has been a steady increase in the salience of interrelations with the extra-academic environment in the context of academics' work. Insights into the status of this...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...