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abstract

Proposal of abstract for 59th World Statistics Congress, Hong Kong (25 – 30 August 2013) Session Code: IPS110 Session Title: Developing a Master Sampling Frame for Integrated Agricultural and Rural Surveys TITLE: Indirect Sampling as a Strategy for Building and Updating the Master Sampling Frame for Integrated Agricoltural Surveys: a General Approach for Designing Unbiased Sampling Strategies AUTHORS: Piero Demetrio Falorsi (falorsi@istat.it), Pietro Gennari (Pietro.Gennari@fao.org) ABSTRACT Keywords: indirect sampling, two phase sampling, optimal sampling In order to ensure the consistency and the integration of agricultural statistics into the national statistical system the Global Strategy (FAO, 2011) stresses the need to build a Master Sampling Frame (MSF) where information on land parcels, households and farms are interlinked, thus allowing to simultaneously provide consistent and integrated statistics on the environmental, social and economic dimensions of agriculture. There are several ways for building the MSF, one of which is illustrated in FAO (2012). The construction of the MSF is a complex and expensive task. The quality of the linkage among different statistical units requires clear guidelines and proper implementation of the survey field operations. Often, data collected have to be treated with sofisticated statistical procedures for refining the quality of the record linkage. Furthermore, in dynamic environments, the MSF becomes quickly outdated, and survey enumerators may encounter a situation in the field quite different from that represented in the MSF. This paper proposes a feasible and cheap strategy for building and updating the MSF, allowing to produce unbiased estimates of the target parameters. According to this strategy, the MSF is built only on a subsample of the population by adopting a two stage sample design (Särndal, C.E., Swensson, B., Wretman, J., 1992). The sample is then extracted from this frame (selected in the first phase) in each survey occasion by adopting a probabilistic indirect sampling approach (Lavallée, 2007). Indirect sampling provides a solution to the problem that the sampling frame of the desired target population is not available (or not updated), by assuming a known relationship of this population with another population for which the frame is available. The sampling frame indirectly related to the target population is then chosen and the initial sampling units are selected from the indirect frame. The data collection is carried out using an indirect sampling approach and the estimates of the target population are obtained with the Generalized Weight Sharing Method. This sampling technique allows to deal with imperfect or outdated frames with a rigorous and generalized approach, addressing therefore the problems encontered in developing countries where frames are often not updated. In addition to defining the overall sample strategy, the paper also investigates the issues to be takled when the MSF is built starting from: (ii) a population register or (ii) area frame. Moreover, some optimality criteria for the definition of MSF, so as to achieve a minimum cost solution ensuring that the sampling errors are lower than predefined thresholds, are illustrated. References FAO (2010), Global Strategy to Improve Agricultural and Rural Statistics, Report Number 56719GLB, http://www.fao.org/fileadmin/templates/ess/documents/meetings_and_workshops/ICAS5/Ag_Statis tics_Strategy_Final.pdf FAO (2012), Guidelines for Linking Population and Housing Censuses with Agricultural Censuses with selected country practices, Special Issue of the FAO Statistical Development Series, ISSN 1014-3378, ISBN 978-92-5-107192-2, http://www.fao.org/docrep/015/i2680e/i2680e.pdf. Lavallée P. (2007), Indirect Sampling, Springer Series in Statistics, ISBN-10:0-387-70778-6 Särndal, C.E., Swensson, B., Wretman, J., (1992). Model Assisted Survey Sampling, SpringerVerlag