Recommendations for quality analysis of household surveys

Household surveys

Recommendations for quality analysis of household surveys

Biennium:
2022-2023
Coordinator
Instituto Nacional de Estadísticas (INE) of Chile
Technical Secretariat
Statistics Division of ECLAC
Members
National Institute of Statistics and Censuses (INDEC) of Argentina
Instituto Nacional de Estadística (INE) of Boliva
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
General Directorate of Statistics and Censuses (DIGESTYC) of El Salvador
Instituto Nacional de Estadística (INE) of Guatemala
Instituto Nacional de Estadística y Geografía (INEGI) of Mexico
Instituto Nacional de Información de Desarrollo (INIDE) of Nicaragua
Instituto Nacional de Estadística (INE) of Paraguay
National Institute of Statistics and Informatics (INEI) of Perú
Oficina Nacional de Estadística (ONE) of Dominican Republic
Instituto Nacional de Estadística (INE) of Uruguay
Objetivos

a) General objective

Develop recommendations for the harmonized analysis of the quality of the figures resulting from household surveys and for the measurement of sampling error, using methodologies that are affordable to the users of these statistics.


b) Specific objectives

  • Systematize the current state of publication and dissemination practices of figures from household sample surveys.
  • Establish a regional standardized procedure following international recommendations and good practices, which can be adapted to the specific reality of each country and each survey, for measuring the quality and precision of the estimates resulting from the processing and analysis of household sample surveys.
  • Examine the particular characteristics of database anonymization processes and their impact on the measurement of sampling error by users of household surveys.
  • Define a set of appropriate methodologies for the estimation of sampling error with anonymized household survey databases using replicate weights.