An Indirect Estimation Approach for Disaggregating SDG Indicators Using Survey Data: Case Study Based on SDG Indicator 2.1.2

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.

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An Indirect Estimation Approach for Disaggregating SDG Indicators Using Survey Data: Case Study Based on SDG Indicator 2.1.2

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.

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An Indirect Estimation Approach for Disaggregating SDG Indicators Using Survey Data: Case Study Based on SDG Indicator 2.1.2

An Indirect Estimation Approach for Disaggregating SDG Indicators Using Survey Data: Case Study Based on SDG Indicator 2.1.2

by Food and Agriculture Organization of the United Nations
An Indirect Estimation Approach for Disaggregating SDG Indicators Using Survey Data: Case Study Based on SDG Indicator 2.1.2

An Indirect Estimation Approach for Disaggregating SDG Indicators Using Survey Data: Case Study Based on SDG Indicator 2.1.2

by Food and Agriculture Organization of the United Nations

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Overview

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.


Product Details

BN ID: 2940165985683
Publisher: Food and Agriculture Organization of the United Nations
Publication date: 12/13/2022
Sold by: Smashwords
Format: eBook
File size: 4 MB

About the Author

An intergovernmental organization, the Food and Agriculture Organization of the United Nations (FAO) has 194 Member Nations, two associate members and one member organization, the European Union. Its employees come from various cultural backgrounds and are experts in the multiple fields of activity FAO engages in. FAO’s staff capacity allows it to support improved governance inter alia, generate, develop and adapt existing tools and guidelines and provide targeted governance support as a resource to country and regional level FAO offices. Headquartered in Rome, Italy, FAO is present in over 130 countries.

Founded in 1945, the Food and Agriculture Organization (FAO) leads international efforts to defeat hunger. Serving both developed and developing countries, FAO provides a neutral forum where all nations meet as equals to negotiate agreements and debate policy. The Organization publishes authoritative publications on agriculture, fisheries, forestry and nutrition.

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