Der Vortrag beschreibt die Entwicklungen der letzten zehn Jahre bezüglich des Zugangs zu amtlichen Mikrodaten, insbesondere Unternehmens- und Betriebsdaten. Dabei werde ich vor allem auf Ergebnisse aus drei Projekten eingehen, an denen ich selbst mitgewirkt habe: (a) Anonymisierung von...

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 too much distorted...

Empirical research using micro data via remote access has been advocated in recent time by statistical offices since confidentiality is easier warranted for this approach. However, disclosure of single values and units cannot be completely avoided. Binary regressors (dummy vari- ables) bear a...

Remote access as well as remote analysis solve many problems arising from granting researchers access to sensitive data. Both allow to run analyses without actually seeing the data. Therefore none of them demand either substantively altering the data or strictly restricting the access to it....

The paper considers the effect of additive and multiplicative measurement errors on the estimation of linear models.We assume that such measurement errors have been applied to the micro data by purpose in order to protect them against re-identification. In particular measurement errors with a...

The paper uses micro cross-section data from the GfK consumer panel for econometric demand analysis of private households in Germany. Contrary to most research which considered \average" behavior we extend this approach to consumer behavior for di®erent \intensities" of consumption. Our...

The demand of scientists for confidential micro data from official sources has created discussion of how to anonymize these data in such a way that they can be given to the scientific community. We report results from a German project which exploits various options of anonymization for producing...

Eines der wichtigsten Verfahren zur Anonymisierung von Betriebs- und Unternehmensdaten ist die stochastische Überlagerung. Ihr Einsatz zur Sicherstellung der faktischen Anonymität der Einheiten eines Datensatzes führt jedoch zu inkonsistenten Schätzungen von linearen Panelmodellen und macht...

The paper analyzes eects of randomized response with respect to some binary dependent variable on the estimation of the probit model. This approach is used in interviews when asking sensitive questions. Alternatively randomization can be considered as a means of statistical disclosure control...