Metrics matter for policy and policy matters for well-being. In this report, the co-chairs of the
OECD-hosted High Level Expert Group on the Measurement of Economic Performance and …

A bold agenda for a better way to assess societal well-being, by three of the world's leading
economists and statisticians" If we want to put people first, we have to know what matters to …

Suppliers of tourist services continuously generate big data on ask prices. We suggest using
this information, in the form of a price index, to forecast the occupation rates for virtually any …

We propose an ensemble learning methodology to forecast the future US GDP growth
release. Our approach combines a Recurrent Neural Network (RNN) and a Dynamic Factor …

During the Covid-19 pandemic, economists have struggled to obtain reliable economic
predictions, with standard models becoming outdated and their forecasting performance …

In this paper we consider the value of Google Trends search data for nowcasting (and
forecasting) GDP growth for a developed economy (the US) and an emerging-market …

This study proposes a new method of incorporating emotions from newspaper articles into
macroeconomic forecasts, attempting to forecast industrial production and consumer prices …

Timely data availability is a long-standing challenge in policy-making and analysis for low-
income developing countries. This paper explores the use of Google Trends' data to narrow …

The quantification of economic uncertainty is key to the prediction of macroeconomic
variables, such as gross domestic product (GDP), and is particularly crucial in regard to real …

We describe a case of web scraping data-based price indices implemented in a mid-size city
in a moderate inflationary country. Full consumer price (CPI) and construction cost (CCI) …