Using quarterly data from 2006q3 to 2017q4, this paper employed sign restrictions with rejection method in a Vector Autoregression to estimate the pass-through of exchange rate dynamics to domestic prices in Ghana. The priors of the model belongs to the flat Normal inverted-Wishart family....

How much do weather shocks matter? This paper analyzes the role of weather shocks in the generation and propagation of business cycles. We develop and estimate an original DSGE model with a weather-dependent agricultural sector. The model is estimated using Bayesian methods and quarterly data...

How much do weather shocks matter? The literature addresses this question in two isolated ways: either by looking at long-term effects through the prism of theoretical models, or by focusing on short-term effects using empirical analysis. We propose a framework to bring together both the short...

This paper proposes two distinct contributions to econometric analysis of large information sets and structural instabilities. First, it treats a regression model with time-varying coefficients, stochastic volatility and exogenous predictors, as an equivalent high-dimensional static regression...

This study employs a sign-restricted Bayesian structural vector autoregressive (BSVAR) model to analyse how global demand, oil price and the US monetary policy shocks impact the Nigerian business cycle. The objective is to uncover the dominant external drivers of the business cycle in Nigeria....

The neoclassical growth model has emphasised the importance of technology shocks, which supposedly affect macroeconomic variables’ heterogeneously in a small open economy like Sierra Leone. Using a Bayesian DSGE methodology for a non-linear model, we found that investment-specific...

This study compares the predictive performance of the conditional forecasting technique against the unconditional technique. The conditional technique consist of taking into account the information available on an endogenous variable over part of the forecast horizon. We develop a Bayesian VAR...

This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA)based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...

Using Bayesian maximum likelihood and data for Portugal, I estimate a New Keynesian DSGE model allowing for the presence of non-Ricardian households and test the stability of the model's prediction when the fraction of liquidity-constrained households changes. In particular, I assess the impacts...

In this paper I assess the ability of Bayesian vector autoregressions (BVARs) and dynamic stochastic general equilibrium (DSGE) models of different size to forecast comovements of major macroeconomic series in the euro area. Both approaches are compared to unrestricted VARs in terms of...