We investigate heterogeneity and spillovers in macro-financial linkages across developed economies, with a particular emphasis on the most recent recession. A panel Bayesian VAR model including real and financial variables identifies a statistically significant common component, which proves to...

We propose a new VAR identification scheme that enables us to disentangle immigration shocks from other macroeconomic shocks. Identification is achieved by imposing sign restrictions on Norwegian data over the period 1990Q1 - 2014Q2. The availability of a quarterly series for net immigration is...

We rely on a hierarchical volatility factor approach to estimate and decompose time-varying second moments of countries output growth into global, regional and idiosyncratic contributions. We document a “global moderation” of international business cycles, defined as a persistent decline in...

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...

This paper proposes a vector autoregressive model with structural shocks (SVAR) that are identified using sign restrictions and whose distribution is subject to time-varying skewness. It also presents an efficient Bayesian algorithm to estimate the model. The model allows for the joint tracking...

This paper proposes the use of dynamic factor models as an alternative to the VAR-based tools for the empirical validation of dynamic stochastic general equilibrium (DSGE) theories. Along the lines of Giannone et al. (2006), we use the state-space parameterisation of the factor models proposed...

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...

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...

This paper considers panel growth regressions in the presence of model uncertainty and reverse causality concerns. For this purpose, my econometric framework combines Bayesian Model Averaging with a suitable likelihood function for dynamic panel models with weakly exogenous regressors and fixed...

In this paper we aim at empirically testing cross-country impacts of commodity price shocks to aggregate TFP growth for a sample of emerging economies. Under a growth accounting framework, we estimate country-specific TFP growth (1992-2014) and select the attendant robust determinants by means...