Much empirical literature dealing with the competitive environment hypothesis tends to find nonstationary behaviour and very high persistence in time series of company profits. Profit time series is modelled using a simple threshold autoregressive model that allows for nonstationary behaviour...

We propose a framework for assessing the existence and quantifying the effect of threshold effects in cross-country growth regressions in the presence of model uncertainty. The method is based on Bayesian model averaging tech- niques and generalizes the Bayesian Averaging of Classical Estimates...

This paper contributes to the ex post assessment of macroeconomic effects triggered by the 2004 and 2007 wave of EU enlargement, with a specific focus on factor trade, i.e. the crossborder mobility of labor and capital. While most of the potential for trade in goods and for foreign direct...

A time-varying natural rate of interest is estimated for the euro area using a multivariate unobserved components model. The problem of aggregating interest rate data for the pre-EMU period is directly addressed, and a simple method in order to adjust the risk premia in the interest rate data...

The author assesses empirically the relationship between natural disaster risk and investment in education. Although the results in the empirical literature tend to be inconclusive, using model averaging methods in the framework of cross-country and panel regressions, this paper finds an...

We propose exploiting the term structure of relative interest rates to obtain estimates of changes in the timing of a currency crisis as perceived by market participants. Our indicator can be used to evaluate the relative probability of a crisis occurring in one week as compared to a crisis...

Panel data is used to investigate the extent of R&D spillovers between OECD countries, and the importance of barriers to technology adoption in affecting the benefits of such spillovers. Our results indicate that countries with less regulated goods and labour markets benefit more from foreign R&D.

We tackle explicitly the issue of model uncertainty in the framework of binary variable models of currency crises. Using Bayesian model averaging techniques, we assess the robustness of the explanatory variables proposed in the recent literature for both static and dynamic models. Our results...

We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...

We propose a new time series model aimed at forecasting crude oil prices. The proposed specification is an unobserved components model with an asymmetric cyclical component. The asymmetric cycle is defined as a sine-cosine wave where the frequency of the cycle depends on past oil price...