We study the issue of income convergence across countries and regions with a Bayesian model which allows us to use information in an efficient and flexible way. We argue that the very slow convergence rates to a common level of per-capita income found, for example, by Barro and Sala-i-Martin, is...

The determinants of the dramatically rising expenditures on health care in general, and on hospital care in particular, have been of prior concern to policy and to research. Using a rich panel data set this paper contributes to this literature by investigating factors determining the demand for...

Natives often fear that competition from foreigners in labour markets will cause wages to fall and unemployment to rise. These effects might actually be realized if natives and immigrants were substitutes. If they are complements, however, the result might be rather different. This paper...

The paper investigates the relative importance of trade and immigration for earnings and job mobility of male German workers. Using panel data, changes of workplace within a firm and between firms are separated from occupational changes. Various subgroups are investigated, differentiating...

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model that accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for...

This paper shows how particle filtering allows us to undertake likelihood-based inference in dynamic macroeconomic models. The models can be nonlinear and/or non-normal. We describe how to use the output from the particle filter to estimate the structural parameters of the model, those...

We consider mean-variance portfolio choice of a robust investor. The investor receives advice from J experts, each with a different prior for the distribution of returns. Confronted with these multiple priors the investor follows a min-max portfolio strategy. We study the structure of the robust...

We propose to use the attractiveness of pooling relatively short time series that display similar dynamics, but without restricting to pooling all into one group. We suggest estimating the appropriate grouping of time series simultaneously along with the group-specific model parameters. We cast...

This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models. We consider the estimation of linearized DSGE models, the evaluation of models based on Bayesian model checking, posterior odds comparisons,...

We study the mechanics of transmission of fiscal shocks to labour markets. We characterize a set of robust implications following government consumption, investment and employment shocks in a RBC and a New-Keynesian model and use part of them to identify shocks in the data. In line with the...