This paper assesses if a Bayesian VAR with a Dornbusch prior outperforms the random walk model in predicting real exchange rates. Our main contributions are twofold. First, from a methodological point of view we apply an innovative framework to estimate structural Bayesian VAR models. Second, we...

In this paper we present a novel approach to the empirical validation of the intertemporal approach to the current account. We develop a calibrated model highlighting the role of consumption smoothing and capital accumulation in the economic convergence process. After solving the model, we...

This paper brings three new insights into the Purchasing Power Parity (PPP) debate. First, we show that a half-life PPP model is able to forecast real exchange rates (RER) better than the random walk (RW) model at both short and long-term horizons. Secondly, we find that this result holds only...

The paper provides a novel Bayesian methodological framework to estimate structural VAR (SVAR) models with recursive identification schemes that allows for the inclusion of over-identifying restrictions. The proposed framework enables the researcher to (i) elicit the prior on the non-zero...

This paper brings two new insights into the Purchasing Power Parity (PPP) debate. First, even if PPP is thought to hold only in the long run, we show that a half-life PPP model outperforms the random walk in real exchange rate forecasting, also at short-term horizons. Second, we show that this...

To investigate to what extent adding financial frictions can contribute to an improvement in the quality of DSGE model-based forecasts DSGE models with and without financial frictions. Comparison of point and density forecasts. The main finding is that accounting for financial frictions...

It is well-known that central bank policies affect not only macroeconomic aggregates, but also their distribution across economic agents. Similarly, a number of papers demonstrated that heterogeneity of agents may matter for the transmission of monetary policy on macro variables. Despite this,...

Dynamic stochastic general equilibrium models have recently become standard tools for policy-oriented analyses. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real-time forecasts from a richly-specified DSGE model to those from...

This paper introduces a formal method of combining expert and model density forecasts when the sample of past forecasts is unavailable. It works directly with the expert forecast density and endogenously delivers weights for forecast combination, relying on probability rules only. In the...