How was the OECD COVID-19 Recovery Dashboard developed?
The COVID-19 Recovery Dashboard was built at the request of OECD Ministers to keep track of national efforts to build back better. Its development was led by an advisory group of representatives of national statistical offices from OECD countries alongside policy experts and representatives of several OECD committees. The indicators were carefully reviewed and selected through a consensus-based process in which various Ministries from across all OECD countries were consulted. More detailed information on this process is available here.
In line with the OECD’s multi-dimensional approach to measuring progress, the Dashboard features 20 outcome indicators across four dimensions that matter for people, the economy and the planet. In this spirit, the indicators are not aggregated or ranked according to their importance. Instead, they are presented alongside each other to convey a comprehensive picture of how a country is doing in the context of the recovery.
The choice of indicators followed some key considerations:
International comparability and accuracy of data, recognising that official statistics in some areas fall short of needs, requiring the use of complementary data sources such as experimental data or survey data coming from private data providers
What are the four dimensions of the Dashboard?
The dimensions of the Dashboard correspond to the four key priorities that OECD Members agreed should characterise the COVID-19 recovery. Each of these dimensions features five indicators to track progress:
Where does the data come from?
Data for most of the indicators are collected by national statistical offices following internationally-agreed measurement standards. In instances where the availability of official statistics is not timely enough to measure the quality of the recovery, the Dashboard uses data from the Gallup World Poll, a private survey provider. These measures are similar to those used by national statistical offices, although there are methodological differences.
The COVID-19 Recovery Dashboard also features experimental data, such as weekly estimates of year-on-year GDP growth from the OECD Weekly Tracker of GDP growth. These estimates are based on machine learning and Google Trends data and can therefore provide a more real-time picture of economic activity during the recovery. In the future, the OECD intends to add further experimental data to the dashboard in areas where there are persistent lag times and where more timely estimates can be developed.
How will the COVID-19 Recovery Dashboard evolve going forward?
The OECD will continue to work on improving the following features of the Dashboard’s statistics:
Granularity: disaggregating indicators by regions, sectors and population groups requires further harmonisation of underlying concepts to enable comparisons between countries and regions. This is important to fully capture inequalities between people and places, and identify areas of the economy that need attention.
Scope: the pandemic has affected many other dimensions of people’s lives which are not fully featured in the Dashboard, from learning outcomes to mental health. While these aspects of the crisis are worth monitoring in the context of the recovery, robust official statistics that allow for country comparisons do not yet exist in some of these areas.
Links to other relevant OECD work