Models involving human decision-makers often include idealized assumptions, such as rationality, perfect foresight, and access to relevant information. These assumptions usually assure the models' internal validity but, at the same time, might limit the models' power to explain empirical...

The goal of this paper is to provide insights into how scientific evidence can be used for policymaking and put evidence-based agriculture and food policies at the top of research and policy agendas. We illustrate how scientific evidence can be used in a targeted manner for better policymaking...

We propose a framework for estimating network-driven time-varying systemic risk contributions that is applicable to a high-dimensional financial system. Tail risk dependencies and contributions are estimated based on a penalized two-stage fixed-effects quantile approach, which explicitly links...

We study the liquidity allocation among European banks around the Lehman insolvency using a novel dataset of all interbank loans settled via the Eurosystem’s payment system TARGET2. Following the Lehman insolvency, lenders in the overnight segment become sensitive to counterparty...