Recommendations for incorporating small area estimation methodologies into the production of statistics

Small area estimation

Recommendations for incorporating small area estimation methodologies into the production of statistics

Biennium:
2024-2025
Coordinator
Departamento Administrativo Nacional de Estadística (DANE) of Colombia
Instituto Nacional de Estadística (INE) of Venezuela
Technical Secretariat
Statistics Division of ECLAC
Members
National Institute of Statistics and Censuses (INDEC) of Argentina
Brazilian Institute of Geography and Statistics (IBGE)
Instituto Nacional de Estadísticas (INE) of Chile
Instituto Nacional de Estadística y Censos (INEC) of Costa Rica
Oficina Nacional de Estadística e Información (ONEI) of Cuba
Instituto Nacional de Estadística (INE) of Guatemala
Instituto Nacional de Estadística (INE) of Honduras
Instituto Nacional de Estadística y Geografía (INEGI) of Mexico
Instituto Nacional de Estadística y Censo (INEC) of Panama
Instituto Nacional de Estadística (INE) of Paraguay
National Institute of Statistics and Informatics (INEI) of Perú
Oficina Nacional de Estadística (ONE) of Dominican Republic
UNICEF Regional Office for Latin America and the Caribbean
Banco Interamericano de Desarrollo (BID)
Fondo de Población de las Naciones Unidas UNFPA
Objectives

General objective

Develop a manual that enables institutions to standardize the use of small area estimation to produce official statistics.

Specific objectives

  1. Analyse the use of the small area estimation methodology in the region, taking into consideration criteria for the following: publication, variables, domains, periodicity of publication, process definition and automation, tools used and available human talent.
  2. Define the general stages of applying the small area estimation methodology in order to create a manual with a step-by-step guide, bearing in mind replicability and automation.
  3. Make recommendations to institutions and organizations that enable small area estimation to be incorporated into the production processes for official statistics.
  4. Establish a maturity model that takes into consideration the following capacities and assets: available data, human talent, defined processes, initiatives already implemented and technological tools.
  5. Contribute to building tools that highlight the possible contributions of implementing the small area estimation methodology for following up on and monitoring the SDG indicators.
  6. Gather recommendations from countries in the region that have already begun implementing the small area estimation methodology to produce statistics.
  7. Propose ways for the statistical data obtained using small area estimation methodology to be made available and viewed locally through geostatistical information systems.