| 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 |
|