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The effect of sampling design on the reliability of estimates of the variance of distributions derived from household survey data: a simulation study

Year of publication 2007

Product type Document

Edition 1

Synopsis (short abstract) On a regular basis, FAO produces estimates of the prevalence of undernourishment and related measures that require estimates of the frequency distribution of household per capita food consumption, expressed in terms of dietary energy (kilocalories).

Language English

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    For studying inequalities in populations, the interest often lies in estimating frequency distributions. Several factors of interest, such as income or expenditure, depict highly skewed distributions. The study of economic inequality with respect to such distributions is of common interest, and estimation of frequency distributions is more meaningful in such cases. The sample surveys planned for estimating population parameters such as the mean or total may not adequately capture the d istributional properties of the populations needed for estimation of frequency distributions. Among several measures of inequalities, the Lorenz ratio or Gini concentration coefficient (G) is considered as one of the most important measures. Estimation of G involves estimation of frequency distributions as well. It may not be reasonable to estimate these parameters from data collected through sample surveys planned for the estimation of the mean or total. The reliability of such sampli ng designs as well as estimates of G needs to be investigated. In this paper, the problem of choice of sampling designs for estimation of G as well as frequency distributions is attempted. Since studying the distributional properties of estimators of such complex parameters is not simple, the problem is approached empirically on simulated data.
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    Food Insecurity Assessment based on food consumption statistics derived from Tajikistan 2005 Household Budget Survey 2007
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    This report provides information about Tajikistan’s food insecurity situation at the national and sub national levels based on food consumption statistics derived from data collected in the 2005 Tajikistan Household Budget Survey (2005 HBS) using FAO methodology.
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