A decision maker tests whether the gradient of the loss function evaluated at a judgmental decision is zero. If the test does not reject, the action is the judgmental decision. If the test rejects, the action sets the gradient equal to the boundary of the rejection region. This statistical...

This paper proposes mixed-frequency distributed-lag (MFDL) estimators of impulse response functions (IRFs) in a setup where (i) the shock of interest is observed, (ii) the impact variable of interest is observed at a lower frequency (as a temporally aggregated or sequentially sampled variable),...

The market-oriented approach promoted by the European Central Bank in the design of its refinancing operations creates incentives to credit insitutions to use actively the interbank market to manage their liquidity needs. In this context, we examine the ability of the overnight segment to...

Based on ordered Probit models and twenty years of euro area data, we estimate empirical reaction functions for the ECB's monetary policy and augment them with communication indicators. First, we find that the ECB responded to risks to price stability in line with its primary objective, and that...

The market-oriented approach promoted by the European Central Bank in the design of its refinancing operations creates incentives to credit insitutions to use actively the interbank market to manage their liquidity needs. In this context, we examine the ability of the overnight segment to...

Based on ordered Probit models and twenty years of euro area data, we estimate empirical reaction functions for the ECB´s monetary policy and augment them with communication indicators. First, we find that the ECB responded to risks to price stability in line with its primary objective, and...

This paper develops a rigorous econometric framework to investigate the structure of codependence between random variables and to test whether it changes over time. Our approach is based on the computation - over both a test and a benchmark period - of the conditional probability that a random...

This paper develops a multi-way analysis of variance for non-Gaussian multivariate distributions and provides a practical simulation algorithm to estimate the corresponding components of variance. It specifically addresses variance in Bayesian predictive distributions, showing that it may be...

We show how to use a simple perturbation method to solve non-linear rational expectation models. Drawing from the applied mathematics literature we propose a method consisting of series expansions of the non-linear system around a known solution. The variables are represented in terms of their...

Phenomena such as the Great Moderation have increased the attention of macro-economists towards models where shock processes are not (log-) normal. This paper studies a class of discrete-time rational expectations models where the variance of exogenous innovations is subject to stochastic regime...