Knowledge management within organizations allows to support a global business strategy and represents a systemic and organized attempt to use knowledge within an organization to improve its performance. The objective of this research is to study and analyze knowledge management through Bayesian...

We consider both frequentist and empirical Bayes forecasts of a single time series using a linear model with T observations and K orthonormal predictors. The frequentist formulation considers estimators that are equivariant under permutations (reorderings) of the regressors. The empirical Bayes...

This paper analyzes the monetary policy of the Federal Reserve (Fed) and the Bank of England (BoE) both before and after the global financial crisis. In contrast to extant literature, we use a Bayesian model averaging (BMA) approach that does not rely on one underlying empirical model but...

I introduce a simple Bayesian methodology to analyze citation metrics across fields of Mathematics. I collect and analyze the MathSciNet http://www.ams.org/mathscinet} profiles of Full Professors of Mathematics at all 131 R1, research oriented US universities. The data recorded was citations,...

In this paper, we study a general model of information acquisition: costly Bayesian learning. Using a menu choice framework, we provide an axiomatic characterization of the model, identify its parameters (a utility function, an increasing transformation, a second-order prior belief, and an...

We introduce a Bayesian Mixed-Frequency VAR model for the aggregate euro area labour market that features a structural identification via sign restrictions. The purpose of this paper is twofold: we aim at (i) providing reliable and timely forecasts of key labour market variables and (ii)...

We propose new Unconditional, Independence and Conditional Coverage VaR-forecast backtests for the case of annuity pricing under a Bayesian framework that significantly minimise the direct and indirect effects of $p$-hacking or other biased outcomes in decision-making, in general. As a...

Can a group be an orthodox rational agent? This requires the group's aggregate preferences to follow expected utility (static rationality) and to evolve by Bayesian updating (dynamic rationality). Group rationality is possible, but the only preference aggregation rules which achieve it (and are...