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COMBINE

Financiado

Combine measures of social assistance benefit indicators to correct for measurem...

Aim: To break new ground in the field of official statistics, COMBINE produces error-corrected figures on (1) the number of individuals receiving social assistance benefit at a given point in time and (2) the transition rate out o... ver más

28/02/2026

STICHTING VU

150K€

Presupuesto del proyecto: 150K€

Líder del proyecto

STICHTING VU No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-04-24

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2023-POC: ERC PROOF OF CONCEPT GRANTS

I+D

Cerrada hace 1 año

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2 Participantes

STICHTING VU

113.30K€ | Lider

CBS

36.70K€ | Participante

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Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 22 meses Fecha Inicio: 2024-04-24
Fecha Fin: 2026-02-28

Líder del proyecto

STICHTING VU

TRL 4-5

Presupuesto del proyecto 150K€

Descripción del proyecto Aim: To break new ground in the field of official statistics, COMBINE produces error-corrected figures on (1) the number of individuals receiving social assistance benefit at a given point in time and (2) the transition rate out of social assistance between two points in time. Background: Social assistance benefits are an important pillar of the welfare state. Policy making on social assistance benefits is based on official statistics that are produced by National Statistical Institutes with the use of register data. However, register data suffer from measurement error that can severely bias official statistics and, consequently, policy-making that uses these statistics. Innovation: COMBINE tests, applies and evaluates a novel model-based error-detection and correction method on social assistance benefits. This method does not require concrete knowledge of the causes of measurement error. With this method, we produce different and more reliable official statistics on social assistance benefits. Moreover, this method is more efficient than the practices of data-quality improvement that National Statistical Institutes currently apply. Plan: The project is carried out in collaboration with Statistics Netherlands and, in particular, with its Department of Demographic and Socioeconomic Statistics. Besides producing error-corrected official statistics on social assistance benefits, COMBINE delivers an implementation plan of the method to other official statistics (by Statistics Netherlands or other National Statistical Institutes) and a dissemination plan for approaching policymakers and other users of the statistics. Impact: COMBINE will encourage a cultural shift in official statistics by boosting the confidence of National Statistical Institutes in producing model-based error-corrected statistics. In the policy field, as the method is applicable to a wide range of topics, the project contributes to evidence-based policy-making.

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