Arbeitspapier
The Data Quality Concept of Accuracy in the Context of Public Use Data Sets
Like other data quality dimensions, the concept of accuracy is often adopted to characterise a particular data set. However, its common specification basically refers to statistical properties of estimators, which can hardly be proved by means of a single survey at hand. This ambiguity can be resolved by assigning ?accuracy? to survey processes that are known to affect these properties. In this contribution, we consider the sub-process of imputation as one important step in setting up a data set and argue that the so called ?hit-rate? criterion, that is intended to measure the accuracy of a data set by some distance function of ?true? but unobserved and imputed values, is neither required nor desirable. In contrast, the so-called ?inference? criterion allows for valid inferences based on a suitably completed data set under rather general conditions. The underlying theoretical concepts are illustrated by means of a simulation study. It is emphasised that the same principal arguments apply to other survey processes that introduce uncertainty into an edited data set.
- Language
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Englisch
- Bibliographic citation
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Series: DIW Discussion Papers ; No. 586
- Classification
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Wirtschaft
Statistical Simulation Methods: General
Estimation: General
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Bayesian Analysis: General
Classification Discontinued 2008. See C83.
- Subject
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Survey Quality
Survey Processes
Accuracy
Assessment of Imputation Methods
Multiple Imputation
- Event
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Geistige Schöpfung
- (who)
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Kuchler, Carsten
Spiess, Martin
- Event
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Veröffentlichung
- (who)
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Deutsches Institut für Wirtschaftsforschung (DIW)
- (where)
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Berlin
- (when)
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2006
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Kuchler, Carsten
- Spiess, Martin
- Deutsches Institut für Wirtschaftsforschung (DIW)
Time of origin
- 2006