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data and measurement error. Neglecting these problems can bias the estimated poverty rates. We show how to derive upper and … comparisons across countries to missing data and measurement error problems. Supplemental materials for this article may be …
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Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of quality, measured along three dimensions: trustworthiness, reasonableness, and temporality. We ground ourapproach on provenance, i.e. the origin and subsequent...
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Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of data quality. The issue of believability is particularly relevant in the context of Web 2.0, where mashups facilitate the combination of data from different...
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demonstrates that publications likely suffer from non-classical measurement error. Using horse race and instrumental variable … models, we confirm that the Gold Standard data are relatively free from measurement error but show that the Clarivate data … suffer from non-classical measurement error. We employ a variety of methods to adjust the Clarivate data for false negatives …
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