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Book (series)Manual of fisheries sampling surveys: methodologies for estimations of socio-economic indicators in the Mediterranean Sea. 2004
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No results found.This manual on the sampling methodology for use in the construction of socio-economic indicators was initiated by the Sub-Committee on Economic and Social Sciences (SCESS) of the General Fisheries Commission for the Mediterranean (GFCM) Scientific Advisory Committee (SAC). It was carried out jointly by Istituto Ricerche Economiche per la Pesca e l’Acquacoltura (IREPA), Salerno, Italy, and Gabinete de Economía del Mar (GEM), Universidad de Barcelona, Spain, within the framework of the ad hoc Work ing Group on Socio-Economic Indicators of SCESS. This manual is aimed at all decision-makers who may need correct data to build socio-economic indicators. At an international level, the manual can be used to facilitate and simplify reporting under international conventions and agreements on matters relating to the sustainable development of the world’s fisheries. Regional fisheries bodies and stakeholders involved in fisheries decision-making, such as the fishing industry, other user groups, c ertification bodies, local communities and non-governmental organizations (NGOs) may also draw upon this manual to assist in meeting societal goals for fisheries. This manual can be applied to fisheries at many different levels, from individual fisheries and coastal management units to a global level. It aims to encourage consistent usage of statistical methods in data collection. Governments may also wish to adapt the manual to the specific requirements of their national fisheries. -
Book (stand-alone)An indirect estimation approach for disaggregating SDG indicators using survey data
Case study based on SDG Indicator 2.1.2
2022Also available in:
No results found.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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