Estimating Sampling Errors in REA Survey: A Model Approach for the Synthetic Presentation of Results for Main Variables Involved in Economic Analysis |
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Authors: | Salvatore Filiberti Edoardo Pizzoli Veronica Rondinelli |
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Institution: | (1) National Institute of Statistics (ISTAT), Rome, Italy;(2) Food and Agriculture Organization of the UN (FAO), Rome, Italy |
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Abstract: | A new sample business survey for agriculture, the REA survey, and a project of integration with the FADN network (RICA in
Italy) have significantly changed the production of statistical information nowadays available with reference to the agricultural
sector. On the basis of this relevant information, new economic analyses are being developed on farms’ performance, agricultural
households’ income and the Common Agricultural Policy (CAP). In this paper the authors estimate the relationship between the
levels of variables of interest and their sampling errors using models in order to improve the accessibility of the information
on estimates accuracy to the final users (agricultural analysts, policy makers).
The paper is the result of a joint research of the three authors. Sections 1–3 and 6 by Pizzoli, Sects. 4 and 5 by Rondinelli,
Sect. 7 by Filiberti, conclusions joint to the three authors. |
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Keywords: | Sampling errors Level estimates Generalized variance function (GVF) models Italian farm business survey (REA RICA-REA) Agricultural sector European system of accounts (ESA95) |
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