We test for mean reversion in real exchange rates using a recently developed unit root test for non-normal processes based on quantile autoregression inference in semi-parametric and non-parametric settings. The quantile regression approach allows us to directly capture the impact of different...

Using the Albrecht et al. (2003) version of the Machado and Mata (2005) decomposition technique along the wage distribution, we find that immigrant workers do not affect changes in the Czech wage structure between 2002 and 2006 despite their substantial inflows. Instead, changes in the wage...

Analyzing data from the Structure of Earnings Surveys we find that wage dispersion in Austria increased marginally between 1996 and 2002. There was an increase in the returns to education which accrued only to male workers. The positive effects of tenure and especially of experience on wages...

This paper examines changes in the Greek wage distribution over 1995-2002 and the role of skills in these changes using a matched employer-employee data set. This data set enables us to account for firm heterogeneity and obtain a more refined picture of the impact of skills. The methodology...

We document how the distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging...

This paper examines which measures of financial conditions are informative about the tail risks to output growth in the euro area. The Composite Indicator of Systemic Stress (CISS) is more informative than indicators focusing on narrower segments of financial markets or their simple aggregation...

We study the macroeconomic consequences of financial shocks and increase in economic risk using a quantile vector autoregression. Financial shocks have a negative, but asymmetric impact on the real economy: they substantially increase growth at risk, but have limited impact on upside potential....

We characterise the probability distributions of various categories of gross capital flows conditional on information contained in financial asset prices in a panel of emerging market economies, with a focus on "tail" events. Our framework, based on the quantile regression methodology, allows...

I propose a new model, conditional quantile regression (CQR), that generates density forecasts consistent with a specific view of the future evolution of some variables. This addresses a shortcoming of existing quantile regression-based models, for example the at-risk framework popularised by...

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...