This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting in ation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions for forecasting in ation with the ability of quantile regression to...

We analyze the migration drivers within the European Union countries. For a set of 23 EU countries over the 1995-2019 period, we use Bayesian Model Averaging and quantile regression to assess notably the relevance of unemployment and earnings. We find that the existence of a common border...