... it can be measured (with a top 1% share of up to 40%), which is likely to be the case for the whole region. wealth distribution wealth-to-income ratios household surveys national accounts Latin America Latin America still faces major challenges in answering very basic questions concerning, e.g. how...

... representative household surveys are a potential data source that could shed light on the climate–migration nexus. However, they are rarely designed specifically to measure or study migration and often lack the necessary features to identify connections with climate change. This paper offers a critical...

... and the integration of phone interviews with in-person data. JEL/C83 Survey Methods - Sampling Methods JEL/Q10 Agriculture JEL/Agricultural Technology Biofuels phone surveys agriculture household surveys living standards data World Bank Group 10.13039/100004421 TF084630 World Bank Group 10.13039/100004421...

... production in household surveys ( Durazo et al., 2021 ) has also underscored the importance of self-reporting on labour, as well as collecting metadata on who reported for the respondent, if direct interviews were not possible. ⁴ Our paper builds on the emerging literature focused on low...

... primarily on household surveys. This introduces a number of challenges including gaps between survey waves, conflicting estimates, age misreporting and delayed completion. We introduce the Adjusted Bayesian Completion Rates (ABCR) model to address these challenges and produce the first complete...

... security indicators based on household diet diversity are likely overstated with unbounded recall. diet quality food consumption household surveys recall telescoping CGIAR 10.13039/501100015815 Monitoring progress towards meeting the first two Sustainable Development Goals (SDGs), to end poverty...

... Journals Publication Model ( https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model ) Abstract Our research evaluates an innovative sampling technique for household surveys called “geosampling” which leverages recent advances in geographic information systems...

.... Agricultural economics data innovation data quality household surveys Agricultural data quality, including issues related to measurement error, coverage or relevance, is increasingly central to this discussion, as these problems significantly constrain the credibility and impact of agricultural research...

... to characterize income underreporting in household surveys in low- and middle-income countries. The objective is to document (a) the extent of this underreporting, and (b) whether and how it varies systematically with respondent, household, income, and survey design features. Drawing on rural household data from...

... women and children are not found in the (asset-)poorest 40 percent of households. The study finds poverty measures that are very comparable to those produced with a more standard household survey conducted only a few months earlier. On the one hand, the mode of data collection (more than one respondent...

... of regions within Sub-Saharan African countries. First, this study briefly discusses the contribution of Gershman and Rivera (2018) , who employ censuses and large-scale household surveys to measure subnational ethnolinguistic diversity. Second, this study shows how the GIS approach, based on combining...

... which socio-economic and demographic characteristics are associated with NHIS enrolment. While previous studies used data from a few geographic areas, we use three different household surveys designed to be nationally representative. Our approach is also novel in terms of its empirical strategy. We...

... ; Samaratunge and Nyland 2007 ). *Corresponding author. Department of Public Administration, University of Sri Jayewardenepura, Gangodawila-Nugegoda, Sri Lanka. E-mail: [email protected] Health care household surveys out-of-pocket expenditure Sri Lanka Key Messages On average, ∼65% of Sri Lankan...

... methodology to measure medicines access and use with standardized rapid cluster sample household surveys has been previously described ( Vialle-Valentin et al. 2012 ). Trained enumerators use preset criteria to identify the most knowledgeable person about the health of household members and their use...

... responses. This research is mainly based on data collected by the Poverty and Illness (POVILL) project. More particularly, we use the so-called Rapid Household Survey (RHS), which aimed at producing representative statistics on the proportion of households substantially affected (in terms of expenditures...

... in household surveys and recommends that special attention be paid to expenditures on drugs, in particular for the poor. Targeted policies in just five poor states to reduce OOP expenditure could help to prevent almost 60% of the poverty headcount increase through OOP payments. Out-of-pocket expenditures...

... to describe participation in, and levels of expenditure on, the National Lottery. HOUSEHOLD SURVEYS LOTTERIES UNDER-RECORDING J. R. Statist. Soc. A (1997) 160, Part 2, pp. 207±212 Participation in the National Lottery Ð Evidence from the Family Expenditure Survey By J. R. B. KING{ Oce for National...

..., a key health indicator, are derived and compared across a 21-year period. Dietary reference values Household surveys Nutrient intakes Robust standard errors Roughness penalties Semiparametric methods J. R. Statist. Soc. A (1997) 160, Part 3, pp. 389±428 Diet Revealed?: Semiparametric Estimation...

...John Gibson; Bonggeun Kim Abstract Variation in household survey design and implementation is used to obtain evidence of nonrandom measurement error in recall surveys of household expenditure. These surveys, which are used especially in developing countries, appear to have measurement errors...

... of clusters, indexed by g, is denoted U₁, of size M. The sample of m clusters is s₁. The population of units, indexed by i, is denoted U, of size N. The sample of n units is s. For household surveys...