Project description
Small-area composite indicators of economic well-being
The UN General Assembly highlights the need to disaggregate Sustainable Development Goal indicators by various socio-economic groups. Large-scale surveys such as the EU Statistics on Income and Living Conditions (EUSILC) are not designed to be used to produce reliable analyses for these groups, creating the need for estimation methods to improve accuracy using auxiliary data. Economic well-being requires diverse indicators. With this in mind, the ERC-funded SAESDGs-EU project aims to create a single-step method for producing small-area composite indicators of economic well-being using the EUSILC. The method will address the issues observed in current two-step methods regarding the data quality of small-area estimates. The project will also explore the use of nontraditional data sources, such as web and satellite data, as auxiliary information.
Objective
The United Nations (UN) General Assembly highlights the need to disaggregate Sustainable Development Goals (SDGs) indicators by different socio-economic characteristics e.g. income, sex, age, race, ethnicity, migratory status, disability, and small geographic location, or other relevant characteristics (General Assembly resolution 68/261). However, large scale national sample surveys, i.e. the EU Statistics on Income and Leaving Conditions (EUSILC), which collect variables that are needed to produce such indicators, are not designed to be reliable at those disaggregation levels. Small area estimation (SAE) methods are thus needed to produce accurate and precise estimates at a subnational level. SAE methods combine different auxiliary data sources (e.g. the Census with survey data), thus ‘borrowing strength’ from related areas to make a better-quality small area estimates.
The focus of SAESDGs-EU is on economic well-being, which is closely related to the SDGs, as improving quality of life is a core objective of sustainable development. Many of the 17 SDGs explicitly target well-being by addressing economic, social, and environmental factors. Economic well-being is multidimensional, hence a variety of indicators should be considered when measuring it. In this project, we will develop a single-step method to produce small area composite indicators of economic well-being based on the EUSILC. This is a ground-breaking innovation, since currently first composite indicators are produced and then SAE methods are applied (or vice-versa), in a two-step approach. The literature has highlighted problems with this approach which impact the data quality of the final estimates. Given that SAE requires auxiliary information, we will also explore pitfalls and potentials of using non-traditional data sources as auxiliary information (e.g. web-data, satellite data). These are well known data sources that provide granular spatial information.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- social sciences sociology anthropology ethnology
- social sciences sociology demography census
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-STG
See all projects funded under this callHost institution
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
3584 CS Utrecht
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.