Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

A growing body of research and practical applications employ social media data as the
proxy for a complex behavior of a society. This paper provides an overview of academic …

In times of crisis, humans have a tendency to turn to religion for comfort and explanation.
The COVID-19 pandemic is no exception. Using daily and weekly data on Google searches …

We use the GARCH-MIDAS model to extract the long-and short-term volatility components of
cryptocurrencies. As potential drivers of Bitcoin volatility, we consider measures of volatility …

This paper examines several ways to extract timely economic signals from newspaper text
and shows that such information can materially improve forecasts of macroeconomic …

Google Trends data are a popular data source for research, but raw data are frequency‐
inconsistent: daily data fail to capture long‐run trends. This issue has gone unnoticed in the …

The COVID-19 pandemic has inflicted an economic hardship unprecedented for the modern
age. In this paper, we show that the health crisis and ensuing lockdown, came with an …

We develop uncertainty indices for the United States and Australia based on freely
accessible, real time Google Trends data. Our Google Trends Uncertainty (GTU) indices are …

Google Trends reports the evolution of the popularity of internet searches. Its main output is
the Search Volume Index (SVI), a relative measure of the popularity of a term computed …

Traditional sales forecasting methods are mainly based on historical sales data, which result
in a certain lag. The relationship between sales volume and its influencing factors is intricate …