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Small area estimation models for the disaggregation of official statistics

Raúl Prebisch Conference Room

(Presentation and discussion of substantive issues )

Session |
Tue, 26/09/2023 - 16:40 to 18:00

The 2030 Agenda for Sustainable Development underlines that no one should be left behind, and reaching the most vulnerable requires indicators that are sufficiently disaggregated by population characteristics and geographic scales. One of the most effective strategies for achieving this is the use of small area estimation methods to generate disaggregated statistics on the basis of a combination of information from household surveys and from other sources, such as population censuses, administrative records or satellite imagery. In this session, participants will review some recent experiences in the application of these methods and examine the possibility of increasing the production of disaggregated official statistics.


  • Pedro Luis do Nascimento Silva, of the National School of Statistical Sciences (ENCE) of Brazil
  • Piedad Urdinola, DANE of Colombia
  • Xavier Mancero, Statistics Division of ECLAC

Speeches and presentations