Tracking results in agriculture and rural development in less-than-ideal conditions

2008

The Sourcebook provides a number of workable approaches for designing an M&E system that would be of greatest relevance to different agricultural and rural development (ARD) activities, projects and programmes, and degree of data availability. A set of 19 priority indicators based on the criteria of compatibility, availability and relevance [...]

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

2007

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).

The Probability Distribution Framework for estimating the Prevalence of Undernourishment
Working paper series

2007

In his pioneering study carried in the early 1960’s, Sukhatme had formulated the estimate of the prevalence of undernourishment in a population within a bivariate distribution framework where dietary energy consumption (DEC) and dietary energy requirement (DER) are considered as random variables. The evaluation of the formula required the specification [...]

Food deprivation trends: Mid-term review of progress towards the World Food Summit target
Working paper series

2007

In his pioneering study carried in the early 1960’s, Sukhatme had formulated the estimate of the prevalence of undernourishment in a population within a bivariate distribution framework where dietary energy consumption (DEC) and dietary energy requirement (DER) are considered as random variables. The evaluation of the formula required the specification [...]

Rural Households’ Livelihood and Well-Being
Statistics on Rural Development and Agriculture Household Income

2007

The handbook is intended for the benefit of various groups concerned with rural development and the evolving nature of the agricultural industry.