Data, data, data…. Economists know their importance well, especially when it comes to
monitoring macroeconomic conditions—the basis for making informed economic and policy …

This paper is concerned with an introduction to big data which can be potentially used in
nowcasting the UK GDP and other key macroeconomic variables. We discuss various big …

Alternative datasets are widely used for macroeconomic nowcasting together with machine
learning–based tools. The latter are often applied without a complete picture of their …

We propose an empirical framework to measure the real‐time weakness of the global
economy. This framework relies on nonlinear factor models to identify recessionary and …

This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross
domestic product. The model is estimated with a mix of soft and hard indicators, and it …

Given the growing importance of emerging market economies (EMEs) in driving global GDP
growth, timely and accurate assessments of current and future economic activity in EMEs are …

Real gross domestic product (GDP) data in Turkey are released with a very long delay
relative those of to other economies, between 10 and 13 weeks after the end of the …

In this paper, we assess the predictive content of latent economic policy uncertainty and data
surprise factors for forecasting and nowcasting gross domestic product (GDP) using factor …

Nowcasting has become a useful tool for making timely predictions of gross domestic
product (GDP) in a data‐rich environment. However, in developing economies this is more …

This paper develops a nowcasting model for the German economy. The model outperforms
a number of alternatives and produces forecasts not only for GDP but also for other key …