Data imputation methodologies applied in household surveys and population censuses

Data imputation

Data imputation methodologies applied in household surveys and population censuses

Biennium:
2024-2025
Coordinator
Instituto Nacional de Estadísticas (INE) of Chile
Technical Secretariat
Statistics Division of ECLAC
Members
National Institute of Statistics and Censuses (INDEC) of Argentina
Brazilian Institute of Geography and Statistics (IBGE)
Departamento Administrativo Nacional de Estadística (DANE) of Colombia
Instituto Nacional de Estadística y Censos (INEC) of Costa Rica
Oficina Nacional de Estadística e Información (ONEI) of Cuba
Instituto Nacional de Estadística y Censos (INEC) of Ecuador
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
Instituto Nacional de Estadística (INE) of Uruguay
Instituto Nacional de Estadística (INE) of Venezuela
Population Division (CELADE) of ECLAC
Objectives

General objective

Systematize international experience, focusing on national statistical offices in the region and international organizations, in order to develop recommendations for the implementation of statistical data imputation methodologies in household surveys and population censuses.

Specific objectives

  1. Establish an exchange with national statistical offices in the region to allow the sharing of knowledge, good practices and successful experiences in the field of data imputation in household surveys and population censuses.
  2. Establish a regional standardized procedure, in accordance with international recommendations and good practices, which can be adapted to the specific reality of each country and each statistical operation, on imputation in household surveys and population censuses. 
  3. Examine the particular characteristics of database imputation processes and their impact on imputation variance and on the measurement of sampling error by users of household surveys.
  4. Through these efforts, it is proposed to establish a regional observatory, with responsibility for research and administrative functions rotating among the participating countries. The main objective is to produce a periodic, indexed publication, supported by all national statistical offices and ECLAC.