In this paper we propose a model for monthly inflation with stochastic trend, seasonal and transitory components with QGARCH disturbances. This model distinguishes whether the long-run or short-run components are heteroscedastic. Furthermore, the uncertainty associated with these components may...

This paper analyzes the determinants of Spain's macroeconomic fluctuations since the inception of the euro in 1999, with a special attention to observed growth and inflation differentials with respect to the rest of the European Monetary Union (EMU). For that purpose we estimate the Banco de...

This paper reviews the existing empirical evidence on the short term impact on prices of fiscal variables and assesses it against new results from harmonised simulations, conducted with six well established econometric models used by the ECB and five national central banks (NCBs) of the...

Global imbalances and financial market (de)regulation both feature prominently among the potential causes of the global financial crisis, but they have been generally discussed separately. In this paper, we take a different angle and investigate the relationship between financial market...

Modern DSGE models are microfounded and have deep parameters that should be invariant to changes in economic policy, so in principle they are not subject to the Lucas critique. But the literature has already established that misspecification issues also cause parameter instability after policy...

The kind of prior typically employed in Bayesian vector autoregression (BVAR) analysis has aroused widespread suspicion about the ability of these models to capture long-run patterns. This paper specifies a bivariate cointegrated stochastic process and conducts a Monte Carlo experiment to assess...

This paper presents a Bayesian vector autoregression model for the Spanish economy to aid in policy making. Forecasts of this model can be used as a useful input in constructing a macroeconomic scenario. The model is also useful in monetary programming.

Total Factor Productivity (TFP) accounts for a sizeable proportion of the income and growth differences across countries. Two challenges remain to researchers aiming to explain these differences: on the one hand, TFP growth is hard to measure; on the other hand, model uncertainty hampers...

This paper discusses likelihood-based estimation of linear panel data models with general predetermined variables and individual-specific effects. The resulting (pseudo) maximum likelihood estimator is asymptotically equivalent to standard GMM but tends to have smaller finite-sample biases as...

Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian Model Averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with country-specific fixed...