Review Of The Master Sampling Frame For Agricultural Statistical Systems

This document summarizes , “The Handbook on Master Sampling Frames for Agriculture”.

  The purpose of the Handbook on Master Sampling Frames for Agriculture is to provide guidelines for the construction and use of Master Sampling Frames (MSFs) in agricultural statistics. One of the main pillars of the Global Strategy to Improve Agricultural and Rural Statistics (World Bank, 2011) is the integration of agriculture into national statistical systems (NSSs), and that this integration is achieved by the development of an MSF for agricultural and rural statistics. Integration can be considered successful if the use of the same concepts and sampling frame in multiple surveys and survey rounds offers gains in efficiency and quality, with respect to separate survey systems

Sampling is an application of statistical theory based on fundamental probability laws to make inferences about a population based on a subgroup of the same population. Sampling theory involves more than a selection process. The general sampling framework includes defining the target population, the framework(s), selecting the sampling unit and associated reporting units, determining the sample size, developing a selection procedure, preparing estimators, and sampling error measures consistent with the sample design and detecting and correcting out-of-sampling errors. to apply statistical controls. Each of these design elements depends on other choices made.