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An indirect estimation approach for disaggregating SDG indicators using survey data

Case study based on SDG Indicator 2.1.2

Year of publication 2022

Place of publication Rome, Italy ;

Pages 72 p.

Author FAO

Publisher FAO ;

Product type Book (stand-alone)

ISBN 978-92-5-135785-9

Synopsis (short abstract) As the custodian United Nations (UN) agency of 21 Sustainable Development Goal (SDG) indicators, and a member of the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and the Working Group on data disaggregation, the Food and Agriculture Organization of the United Nations (FAO) has been working to support countries in reporting SDG indicators at the required disaggregation level. To this end, FAO Office of Chief Statistician (OCS) has developed Guidelines on data disaggregation for SDG Indicators using survey data (FAO, 2021), which offer methodological and practical guidance for the production of direct and indirect estimates of SDG indicators having surveys as their main or preferred data source. This technical report presents a case study based on the so-called “projection estimator”, allowing the integration of two independent surveys for the production of synthetic disaggregated estimates. In particular, the publication presents a practical exercise focused on the production of disaggregated estimates for SDG Indicator 2.1.2, on the Prevalence of Moderate or Severe Food Insecurity in the population based on the Food Insecurity Experience Scale (FIES). This application – based on survey microdata from Malawi – expands and enriches the brief practical exercise presented in the Guidelines.

Cite this content as:

FAO. 2022­. An indirect estimation approach for disaggregating SDG indicators using survey data - Case study based on SDG Indicator 2.1.2. Rome. 


https://doi.org/10.4060/cb8670en

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Language English

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