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  • 1
    Sprache: Englisch
    Seiten: 1 Online-Ressource (50 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als Carletto, Calogero Cheaper, Faster, and More Than Good Enough: Is GPS the New Gold Standard in Land Area Measurement?
    Kurzfassung: In rural societies of low- and middle-income countries, land is a major measure of wealth, a critical input in agricultural production, and a key variable for assessing agricultural performance and productivity. In the absence of cadastral information to refer to, measures of land plots have historically been taken with one of two approaches: traversing (accurate, but cumbersome), and farmers' self-report (cheap, but marred by measurement error). Recently, the advent of cheap handheld GPS devices has held promise for balancing cost and precision. Guided by purposely collected primary data from Ethiopia, Nigeria, and Tanzania (Zanzibar), and with consideration for practical household survey implementation, the paper assesses the nature and magnitude of measurement error under different measurement methods and proposes a set of recommendations for plot area measurement. The results largely point to the support of GPS measurement, with simultaneous collection of farmer self-reported areas
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    Sprache: Englisch
    Seiten: 1 Online-Ressource (33 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als Carletto, Calogero Collecting the Dirt on Soils: Advancements in Plot-Level Soil Testing and Implications for Agricultural Statistics
    Kurzfassung: 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
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 3
    Sprache: Englisch
    Seiten: Online-Ressource (27 p)
    Ausgabe: 2009 World Bank eLibrary
    Paralleltitel: Carletto, Calogero Non-Traditional Crops, Traditional Constraints
    Kurzfassung: This study documents the long-term welfare effects of household non-traditional agricultural export (NTX) adoption. The analysis uses a unique panel dataset, which spans the period 1985-2005, and employs difference-in-differences estimation to investigate the long-term impact of non-traditional agricultural export adoption on changes in household consumption status and asset position in the Central Highlands of Guatemala. Given the heterogeneity in adoption patterns, the analysis differentiates the impact estimates based on a classification of households that takes into account the timing and duration of non-traditional agricultural export adoption. The results show that while, on average, welfare levels have improved for all households irrespective of adoption status and duration, the extent of improvement has varied across groups. Long-term adopters exhibit the smallest increase in the lapse of two decades, in spite of some early gains. Conversely, early adopters who withdrew from non-traditional agricultural export production after reaping the benefits of the boom period of the 1980s are found to have fared better and shown greater improvements in durable asset position and housing conditions than any other category
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 4
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: Online-Ressource (60 p)
    Ausgabe: 2014 World Bank eLibrary
    Paralleltitel: Carletto, Calogero Informing Migration Policies
    Kurzfassung: Researchers in many fields, such as demography, economics, and sociology, have established various data collection methodologies and principles to answer a range of academic and policy questions on migration. Although the progress has been impressive, some basic challenges remain. This paper addresses some basic, yet fundamental, questions on identification of international migrants and how their various demographic, personal, and human capital characteristics are captured via different data sources. The critical issues are the construction of proper sampling frames in censuses, registers, and surveys and the design of questionnaires in household, labor market, and other relevant surveys. The paper discusses how these data sources can be used to answer policy questions in areas such as labor markets, education, or poverty. The focus is on how some of the existing shortcomings in availability, quality, and relevance of migration data can be overcome via improvements in data collection methods
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  • 5
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (44 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Carletto, Calogero Non-Traditional Crops, Traditional Constraints
    Schlagwort(e): Agricultural production ; Agriculture ; Crops ; Debt Markets ; Economic Theory and Research ; Economics ; Farmers ; Finance and Financial Sector Development ; Food production ; Incomes ; Macroeconomics and Economic Growth ; Marketing ; Markets and Market Access ; Nutrition ; Poverty Reduction ; Poverty alleviation ; Rural Development ; Rural Development Knowledge and Information Systems ; Rural Poverty Reduction ; Agricultural production ; Agriculture ; Crops ; Debt Markets ; Economic Theory and Research ; Economics ; Farmers ; Finance and Financial Sector Development ; Food production ; Incomes ; Macroeconomics and Economic Growth ; Marketing ; Markets and Market Access ; Nutrition ; Poverty Reduction ; Poverty alleviation ; Rural Development ; Rural Development Knowledge and Information Systems ; Rural Poverty Reduction ; Agricultural production ; Agriculture ; Crops ; Debt Markets ; Economic Theory and Research ; Economics ; Farmers ; Finance and Financial Sector Development ; Food production ; Incomes ; Macroeconomics and Economic Growth ; Marketing ; Markets and Market Access ; Nutrition ; Poverty Reduction ; Poverty alleviation ; Rural Development ; Rural Development Knowledge and Information Systems ; Rural Poverty Reduction
    Kurzfassung: This paper uses a duration analysis based on adoption data spanning more than 25 years from six communities in the Central Highlands of Guatemala. The analysis explores how household characteristics and external trends play into both the adoption and diffusion processes of non-traditional exports among smallholders. Adoption was initially widespread and rapid, which led nontraditional exports to be hailed as a pro-poor success, reaching all but the smallest landholders. However, over time more than two-thirds of adopters eventually dropped out of production of nontraditional exports. Based on the analysis, production of nontraditional exports appears to have delivered less prosperity to adopters than initially promised. Although smallholders may be enticed into entering into nontraditional exports markets when conditions are favorable, they may lack the capacity to overcome the difficulties that inevitably arise in complex types of cultivations and in highly variable global agricultural markets. Governmental and non-governmental organizations can attempt to mitigate these difficulties, but market forces may overwhelm their efforts, with some adopters still unable to compete in global markets
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 6
    Sprache: Englisch
    Seiten: Online-Ressource (24 p)
    Ausgabe: 2011 World Bank eLibrary
    Paralleltitel: Carletto, Calogero Fact or Artefact
    Kurzfassung: This paper revisits the role of land measurement error in the inverse farm size and productivity relationship. By making use of data from a nationally representative household survey from Uganda, in which self-reported land size information is complemented by plot measurements collected using Global Position System devices, the authors reject the hypothesis that the inverse relationship may just be a statistical artifact linked to problems with land measurement error. In particular, the paper explores: (i) the determinants of the bias in land measurement, (ii) how this bias varies systematically with plot size and landholding, and (iii) the extent to which land measurement error affects the relative advantage of smallholders implied by the inverse relationship. The findings indicate that using an improved measure of land size strengthens the evidence in support of the existence of the inverse relationship
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  • 7
    Sprache: Englisch
    Seiten: Online-Ressource (29 p)
    Ausgabe: 2013 World Bank eLibrary
    Paralleltitel: Carletto, Calogero From Guesstimates to GPStimates
    Kurzfassung: Land area measurement is a fundamental component of agricultural statistics and analysis. Yet, commonly employed self-reported land area measures used in most analysis are not only potentially measured with error, but these errors may be correlated with agricultural outcomes. Measures employing Global Positioning Systems, on the other hand, while not perfect especially on smaller plots, are likely to provide more precise measures and errors less correlated with agricultural outcomes. This paper uses data from four African countries to compare the use of self-reported and Global Positioning Systems land measures to (1) examine the differences between the measures, (2) identify the sources of the differences, and (3) assess the implications of the different measures on agricultural analysis focusing on the inverse productivity relationship. The results indicate that self-reported land areas systematically differ from Global Positioning Systems land measures and that this difference leads to potentially biased estimates of the relationship between land and productivity
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  • 8
    Sprache: Englisch
    Seiten: 1 Online-Ressource (123 pages)
    Paralleltitel: Erscheint auch als Print Version: Dang, Hai-Anh H Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements
    Schlagwort(e): Asset Wealth ; Demographic and Health Survey ; Educational Achievement ; Employment ; Household Survey ; Inequality ; Living Standards ; Poverty Lines ; Poverty Measurement ; Poverty Reduction ; Survey-To-Survey Imputation
    Kurzfassung: A key challenge with poverty measurement is that household consumption data are often unavailable or infrequently collected or may be incomparable over time. In a development project setting, it is seldom feasible to collect full consumption data for estimating the poverty impacts. While survey-to-survey imputation is a cost-effective approach to address these gaps, its effective use calls for a combination of both ex-ante design choices and ex-post modeling efforts that are anchored in validated protocols. This paper refines various aspects of existing poverty imputation models using 14 multi-topic household surveys conducted over the past decade in Ethiopia, Malawi, Nigeria, Tanzania, and Vietnam. The analysis reveals that including an additional predictor that captures household utility consumption expenditures-as part of a basic imputation model with household-level demographic and employment variables-provides poverty estimates that are not statistically significantly different from the true poverty rates. In many cases, these estimates even fall within one standard error of the true poverty rates. Adding geospatial variables to the imputation model improves imputation accuracy on a cross-country basis. Bringing in additional community-level predictors (available from survey and census data in Vietnam) related to educational achievement, poverty, and asset wealth can further enhance accuracy. Yet, there is within-country spatial heterogeneity in model performance, with certain models performing well for either urban areas or rural areas only. The paper provides operationally-relevant and cost-saving inputs into the design of future surveys implemented with a poverty imputation objective and suggests directions for future research
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  • 9
    Sprache: Englisch
    Seiten: 1 Online-Ressource (67 pages)
    Paralleltitel: Erscheint auch als Print Version: Carletto, Calogero Migration, Economic Crisis and Child Growth in Rural Guatemala: Insights from the Great Recession
    Schlagwort(e): 2008 Great Recession ; Child Growth ; Early Child and Children's Health ; Economic Shock ; Health, Nutrition and Population ; Migration ; Poverty Reduction ; Remittances ; Stunting
    Kurzfassung: Migration has been demonstrated by various studies to be closely linked to improvements in individual- and household-level outcomes. Rather than examining the effects of migration, this paper explores whether an economic shock in United States negatively affected migrant households in rural Guatemala. Treating the Great Recession as a natural experiment affecting migrant and non-migrant households differently, the paper puts the spotlight on the effect on child anthropometry, including longer-term indicators of height-for-age z-scores. Panel data on children and multiple children in households enable double- and triple-difference estimation. In relative terms, migrant households fared far worse than non-migrant households over the period. In particular, large advantages in child anthropometric status for the youngest children in migrant households in 2008, just prior to the crisis, were substantially diminished four years later. The findings underscore the possible fragility of the benefits of migration, particularly in the face of a substantial economic shock, and point to the potential importance of deepening social safety nets
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  • 10
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: 1 Online-Ressource (93 pages)
    Paralleltitel: Erscheint auch als Print Version: Carletto, Calogero Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage
    Schlagwort(e): Agricultural Knowledge and Information Systems ; Agricultural Research ; Agricultural Sector Economics ; Agriculture ; Data Collection ; Survey Design
    Kurzfassung: Advances in agricultural data production provide ever-increasing opportunities for pushing the research frontier in agricultural economics and designing better agricultural policy. As new technologies present opportunities to create new and integrated data sources, researchers face trade-offs in survey design that may reduce measurement error or increase coverage. This paper first reviews the econometric and survey methodology literatures that focus on the sources of measurement error and coverage bias in agricultural data collection. Second, it provides examples of how agricultural data structure affects testable empirical models. Finally, it reviews the challenges and opportunities offered by technological innovation to meet old and new data demands and address key empirical questions, focusing on the scalable data innovations of greatest potential impact for empirical methods and research
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