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  • 1
    Language: English
    Pages: Online-Ressource (24 p)
    Edition: 2011 World Bank eLibrary
    Parallel Title: Carletto, Calogero Fact or Artefact
    Abstract: 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
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    Language: English
    Pages: 1 Online-Ressource (50 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Carletto, Calogero Cheaper, Faster, and More Than Good Enough: Is GPS the New Gold Standard in Land Area Measurement?
    Abstract: 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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  • 3
    Language: English
    Pages: 1 Online-Ressource (33 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Carletto, Calogero Collecting the Dirt on Soils: Advancements in Plot-Level Soil Testing and Implications for Agricultural Statistics
    Abstract: 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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  • 4
    Language: English
    Pages: Online-Ressource (31 p)
    Edition: 2013 World Bank eLibrary
    Parallel Title: Kilic, Talip Missing(ness) in Action
    Abstract: Land area is a fundamental component of agricultural statistics, and of analyses undertaken by agricultural economists. While household surveys in developing countries have traditionally relied on farmers' own, potentially error-prone, land area assessments, the availability of affordable and reliable Global Positioning System (GPS) units has made GPS-based area measurement a practical alternative. Nonetheless, in an attempt to reduce costs, keep interview durations within reasonable limits, and avoid the difficulty of asking respondents to accompany interviewers to distant plots, survey implementing agencies typically require interviewers to record GPS-based area measurements only for plots within a given radius of dwelling locations. It is, therefore, common for as much as a third of the sample plots not to be measured, and research has not shed light on the possible selection bias in analyses relying on partial data due to gaps in GPS-based area measures. This paper explores the patterns of missingness in GPS-based plot areas, and investigates their implications for land productivity estimates and the inverse scale-land productivity relationship. Using Multiple Imputation (MI) to predict missing GPS-based plot areas in nationally-representative survey data from Uganda and Tanzania, the paper highlights the potential of MI in reliably simulating the missing data, and confirms the existence of an inverse scale-land productivity relationship, which is strengthened by using the complete, multiply-imputed dataset. The study demonstrates the usefulness of judiciously reconstructed GPS-based areas in alleviating concerns over potential measurement error in farmer-reported areas, and with regards to systematic bias in plot selection for GPS-based area measurement
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    Language: English
    Pages: 1 Online-Ressource (93 pages)
    Parallel Title: Erscheint auch als Print Version: Carletto, Calogero Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage
    Keywords: Agricultural Knowledge and Information Systems ; Agricultural Research ; Agricultural Sector Economics ; Agriculture ; Data Collection ; Survey Design
    Abstract: 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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  • 6
    Article
    Article
    In:  Handbook of research methods in migration 2012, S. 207-228
    Language: English
    Titel der Quelle: Handbook of research methods in migration
    Angaben zur Quelle: 2012, S. 207-228
    Note: Calogero Carletto, Alan de Brauw and Raka Banerjee
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  • 7
    Article
    Article
    Show associated volumes/articles
    In:  Handbook of research methods in migration (2012), Seite 207-228 | year:2012 | pages:207-228
    ISBN: 1781005427
    Language: Undetermined
    Titel der Quelle: Handbook of research methods in migration
    Publ. der Quelle: Cheltenham [u.a.] : Elgar, 2012
    Angaben zur Quelle: (2012), Seite 207-228
    Angaben zur Quelle: year:2012
    Angaben zur Quelle: pages:207-228
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  • 8
    Article
    Article
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    In:  The Oxford handbook of Africa and economics ; Vol. 1: Context and concepts (2015), Seite 46-58 | year:2015 | pages:46-58
    ISBN: 9780199687114
    Language: English
    Pages: graph. Darst.
    Titel der Quelle: The Oxford handbook of Africa and economics ; Vol. 1: Context and concepts
    Publ. der Quelle: Oxford [u.a.] : Oxford Univ. Press, 2015
    Angaben zur Quelle: (2015), Seite 46-58
    Angaben zur Quelle: year:2015
    Angaben zur Quelle: pages:46-58
    Keywords: Aufsatz im Buch
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