This paper presents a systematic review of research papers on nowcasting economic
activity. The study summarizes the state‐of‐the‐art nowcasting approaches and methods …

This article introduces structured machine learning regressions for high-dimensional time
series data potentially sampled at different frequencies. The sparse-group LASSO estimator …

The goal of this article is to evaluate the informational content of sentiment extracted from
news articles about the state of the economy. We propose a fine-grained aspect-based …

The SARS-CoV-2 outbreak made clear the urgent need to depart from traditional statistics,
typically released with a lag and available at a relatively low frequency. This led to …

Payment systems trace economic transactions; they could therefore be considered important
indicators of economic activity. This paper describes the monthly data available on Italy's …

This paper develops a novel dataset of weekly economic conditions indices for the 50 US
states going back to 1987 based on mixed-frequency dynamic factor models with weekly …

This paper shows that newspaper articles contain signals that can materially improve real‐
time nowcasts of real GDP growth for the Euro area. Using articles from 15 popular …

This paper performs the nowcasting of GDP growth rate and inflation expectation in China
with traditional macroeconomic and novel textual data estimated by the latent Dirichlet …

We use a novel data set covering all domestic debit card transactions in physical terminals
by Norwegian households, to nowcast quarterly Norwegian household consumption. These …

Philosophical Studies aims to provide a forum for the best current research in contemporary
philosophy broadly conceived, its methodologies, and applications. Since Wilfrid Sellars and …