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http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18479Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Kuchler, Carsten | - |
| dc.creator | Spiess, Martin | - |
| dc.date | 2006 | - |
| dc.date.accessioned | 2013-10-16T07:00:11Z | - |
| dc.date.available | 2013-10-16T07:00:11Z | - |
| dc.date.issued | 2013-10-16 | - |
| dc.identifier | http://hdl.handle.net/10419/18479 | - |
| dc.identifier | ppn:512766991 | - |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/10419/18479 | - |
| dc.description | 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. | - |
| dc.language | eng | - |
| dc.publisher | Deutsches Institut für Wirtschaftsforschung (DIW) Berlin | - |
| dc.relation | DIW-Diskussionspapiere 586 | - |
| dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | - |
| dc.subject | C15 | - |
| dc.subject | C13 | - |
| dc.subject | C81 | - |
| dc.subject | C11 | - |
| dc.subject | C42 | - |
| dc.subject | ddc:330 | - |
| dc.subject | Survey Quality | - |
| dc.subject | Survey Processes | - |
| dc.subject | Accuracy | - |
| dc.subject | Assessment of Imputation Methods | - |
| dc.subject | Multiple Imputation | - |
| dc.title | The Data Quality Concept of Accuracy in the Context of Public Use Data Sets | - |
| dc.type | doc-type:workingPaper | - |
| Appears in Collections: | EconStor | |
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