This paper estimates the data intensity of occupations/sectors (i.e. the share of job postings per occupation/sector related to the production of data) using natural language processing (NLP) on job advertisements in the United Kingdom, Canada and the United States. Online job advertisement data...

This paper estimates the artificial intelligence-hiring intensity of occupations/industries (i.e. the share of job postings related to AI skills) in the United Kingdom during 2012-22. The analysis deploys a natural language processing algorithm (NLP) on online job postings, collected by...

Rising uncertainties and geo-political tensions, together with increasingly complex trade relations have increased the demand for monitoring global trade in a timely manner. Although it was primarily designed to ensure vessel safety, information from the Automatic Information System, which...

Trade in value added (TiVA) indicators are increasingly used to monitor countries' integration into global supply chains. However, they are published with a significant lag - often two or three years - which reduces their relevance for monitoring recent economic developments. This paper aims to...

Reducing hunger and undernourishment is a global priority and the Sustainable Development Goals (SDGs) have the ambitious target of eradicating hunger entirely by 2030. Using the OECD-FAO Agricultural Outlook to 2024, this paper provides projections on the availability of calories at the...

The OECD and the United Nations Statistics Division (UNSD) have developed jointly the new Multinational Enterprise Information Platform (MEIP). MEIP is built on past OECD and UN efforts to compile statistics on the scale and scope of the international activities of Multinational Enterprises...