Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen:
Ronning, Gerd
Bleninger, Philipp
Drechsler, Jörg
Gürke, Christopher
IAW Diskussionspapiere 66
Die statistische Analyse mittels Fernrechnen (Remote Access bzw. Remote Execution) bietet die Möglichkeit, die Mikrodaten in originaler Form zu verwenden. Allerdings ist dabei zu beachten, daß bestimmte statistische Prozeduren, etwa die Verwendung bestimmter Schein-Variablen (dummy variables, fixed effects) durchaus ein Enthüllungsrisiko ('Inferenz-Enthüllung') darstellen und deshalb deren Ausführung durch den Server, an den die Do-Files gesandt werden, verhindert werden müssen. In dieser Arbeit werden die wichtigsten multivariaten Anlysemethoden auf derartige Enthüllungsrisiken untersucht.
Zusammenfassung (übersetzt): 
Use of microdata is severely hampered in many areas of research. This is in particular true for data from statistical offices. One way to circumvent this problem is to anonymize the data such that both confidentiality is guaranteed and informational content of the data is not to much distorted by the anonymization procedure. However many researchers prefer the use of 'original' data. Therefore in recent years remote access/execution ('Fernrechnen') has become quite popular where the original micro data are used in the statistical analysis but are not available to the researchers. Clearly, this alternative takes more time since program files have to be sent to the statistical office. However, the euphoria for this approach has cooled down a bit since it has become apparent that here also problems of confidentiality exist. Most obvious is the fact that residuals cannot be provided. See, for example, Gomatam et al. (2005). However, there are very different kinds of 'disclosures' which are discussed in the paper. The paper also draws attention to the use of saturated models which bear the risk of reproducing confidential tabular data. Analysis of variance is the relevant tool in reproducing magnitude tables whereas the corresponding micro-econometric models can be used to reproduce frequency tables: Logit models give the results in case of a nominal variable and Poisson regression is the approach in case of count data.We also shortly discuss possible disclosure risk in the standard multivariate procedures (factor analysis, principal components, cluster analysis and multidimensional scaling). It is clear from the many examples given in the paper that the remote access/execution option will ask for a large amount of statistical expertise in the statistical office in order to check for disclosure risk. Additionally, there will be a tendency not to provide statistical results to the researcher if critical variables such as region or sector are demanded as regressors in the program file. Perhaps a much cruder classification of regions and sectors will be allowed which in a way is the situation used in providing anonymized data.
Remote execution
confidential tabular data
saturated models
disclosure risk
artificial outlier
strategic dummy variable
cluster analysis
factor analysis
Working Paper

664.47 kB

Publikationen in EconStor sind urheberrechtlich geschützt.