Household surveys

Recommendations for quality analysis of household surveys

Bienio:

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

Objectives

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.

Programme

Biennial programme of activities 2022–2023