Abstract

The IASI Session: Sampling and Official Statistics will consist of three presentations of 30 minutes each. The first presentation titled “Leaving No One Behind and Small Area Estimation Models in ECLAC” will be focused as follows: The Economic Commission for Latin America and the Caribbean (ECLAC) plays a major and significant role in assisting countries in implementing the 2030 Agenda for Sustainable Development, particularly in achieving the ambitious mandate of "Leaving No One Behind”. Small Area Estimation (SAE) models provide a powerful tool for ECLAC to fulfill this mandate. SAE models allow for the estimation of disaggregated data for small geographic areas, enabling ECLAC to identify vulnerable populations, monitor progress towards specific Sustainable Development Goals (SDGs), evaluate the impact of interventions, and build capacity for using SAE models. This talk focuses on how ECLAC has effectively utilized SAE models to make a substantial contribution to ensuring that the 2030 Agenda's promise of "Leaving No One Behind" is realized in Latin America and the Caribbean. The second presentation titled “Small Area Estimation Advances at DANE- Colombian National Statistical Office and the National Multidimensional Ethnic Survey” will focus in showing the advances at DANE to get more disaggregation in the more important economic and social surveys using small area estimation – SAE – methods, the use of administrative registers and alternative sources. These methodologies will permit DANE to fulfill the advances to achieve the goals in the National Development Plan 2022-2026 by the Colombian Government but also to advance in the Sustainable Development Goals – SDGs by 2030. The third presentation will provide an overview on time series analysis of survey data. It will cover the use of the state space approach for modeling time series from repeated surveys, while considering the presence of sampling errors and the correlation structure implied by the survey design.