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Much of the current analysis on agricultural productivity is hampered by the lack of consistent, high quality data on soil health and how it is changing under past and current management. Historically, plot-level statistics derived from household surveys have relied on subjective farmer assessments of soil quality or, more recently, publicly available geospatial data. The Living Standards Measurement Study of the World Bank implemented a methodological study in Ethiopia, which resulted in an unprecedented data set encompassing a series of subjective indicators of soil quality as well as spectral soil analysis results on plot-specific soil samples for 1,677 households. The goals of the study, which was completed in partnership with the World Agroforestry Centre and the Central Statistical Agency of Ethiopia, were twofold: (1) evaluate the feasibility of integrating a soil survey into household socioeconomic data collection operations, and (2) evaluate local knowledge of farmers in assessing their soil quality. Although a costlier method than subjective assessment, the integration of spectral soil analysis in household surveys has potential for scale-up. In this study, the first large scale study of its kind, enumerators spent approximately 40 minutes per plot collecting soil samples, not a particularly prohibitive figure given the proper timeline and budget. The correlation between subjective indicators of soil quality and key soil properties, such as organic carbon, is weak at best. Evidence suggests that farmers are better able to distinguish between soil qualities in areas with greater variation in soil properties. Descriptive analysis shows that geospatial data, while positively correlated with laboratory results and offering significant improvements over subject assessment, fail to capture the level of variation observed on the ground. The results of this study give promise that soil spectroscopy could be introduced into household panel surveys in smallholder agricultural contexts, such as Ethiopia, as a rapid and cost-effective soil analysis technique with valuable outcomes. Reductions in uncertainties in assessing soil quality and, hence, improvements in smallholder agricultural statistics, enable better decision-making.

Household Survey --- Land Productivity --- Local Knowledge --- Soil Fertility --- Soil Spectroscopy

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In 1986 the and#x0189;oi Moi reform changed the economic and social policies in Vietnam, triggering steep economic growth and the shift from a low- to a middle-income economy. In parallel to the economic growth, Vietnam also experienced rapid social and demographic change, which resulted in modified consumption behavior. This paper estimates a Quadratic Almost Ideal Demand System, obtaining income and own- and cross-price elasticities for 10 groups of goods and services that can contribute to the further economic development of Vietnam. To control for potential bias generated by unobserved quality substitution and endogenous unit values, the analysis adopts an instrumental variable method. The results show that household equipment, clothing and accessories, telecommunication, transport, and medical and health services are responsive to income changes, while food, foodstuffs, beverages and tobacco, education, and electricity are income inelastic. Moreover, the analysis detects complementarity between education and the rest of the goods and services, and substitution between health care and household equipment, clothing, and telecommunication services. These results help in understanding recent socioeconomic development patterns in Vietnam and provide updated evidence to support business decisions and economic policy planning.

Demand System --- Endogeneity --- Household Survey --- Industrial Economics --- Industry --- Instrumental Variables --- Price Elasticity --- Quaids --- Quality Substitution

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This study applies the cost-of-basic-needs approach to estimate food and total poverty lines for the Brazilian case. Using detailed data on expenditures from a 2017/18 household budget survey and caloric information from the Brazilian Table of Food Composition, calorie intake is assigned to more than 1,400 items to estimate the cost per calorie for a representative group of the population. The preferred results estimate the value of the food poverty line at RD 258 (in 2018 urban Southeast prices), and the lower total poverty line (covering also nonfood necessities) at RD 455. Robustness checks show that varying the assumptions leads to qualitatively similar results. The findings are also close in value to lines found in earlier studies and the societal poverty line. Finally, this work provides a data-driven validation of the income threshold used to determine eligibility for Brazil's social registry.

Agriculture --- Basic Needs --- Food Poverty --- Food Security --- Household Budget --- Household Survey --- Poverty Line --- Poverty Reduction

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The Millennium Development Goal of halving the incidence of extreme poverty from its 1990 level will be achieved in 2015, and the international development community is now moving to a new goal of "ending extreme poverty." However, the data needed to monitor progress remain severely limited. During the 10 year period between 2002 and 2011, as many as 57 countries have zero or only one poverty estimate. This paper refers to such lack of poverty data as "data deprivation," because the poor are often socially marginalized and voiceless, and the collection of objective and quantitative data is crucial in locating them and formulating policy to help them exit extreme deprivation. This paper studies the extent of data deprivation and proposes targets for ending data deprivation by 2030-the year by when the international community aims to end extreme poverty. According to the analysis in this paper, this target is ambitious but possible, and achieving it is necessary to be able to declare the end of extreme poverty with confidence.

Data Deprivation --- E-Business --- Household Survey --- Poverty --- Poverty Monitoring & Analysis --- Rural Poverty Reduction --- Statistical & Mathematical Sciences --- Statistics

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Drug abuse surveys --- Drug abuse --- Substance abuse --- Substance-Related Disorders. --- National Household Survey on Drug Abuse (U.S.) --- United States.