While effective bureaucracy is crucial for state capacity, its decision-making remains a black box. We elicit preferences of 900+ real-world public procurement officials in Finland and Germany. This is an important pursuit as they report having sizeable discretion and minimal extrinsic...

Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast accuracy for euro area real GDP growth and HICP...

We develop a method for directly modeling cointegrated multivariate time series that are observed in mixed frequencies. We regard lower-frequency data as regularly (or irregularly) missing and treat them with higher-frequency data by adopting a state-space model. This utilizes the structure of...