Real-time point forecasts for key macroeconomic indicators such as real GDP growth are ubiquitous in both academics and the media. They play an important role in many decision making contexts, for both private actors in the economy as well as the public sector, but are rarely communicated alongside an assessment of their uncertainty. A first focus of the project is thus the quantification of uncertainty that is inherent in these point forecasts for a large set of countries, where we aim to construct individual distribution functions while taking into account the information content in the panel data structure by modeling similarities between countries.