Microeconometric models and anonymized micro data |
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Authors: | Gerd Ronning |
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Institution: | (1) Wirtschaftswissenschaftliche Fakult?t, Universit?t Tübingen, Mohlstra?e 36, 72074 Tübingen, Germany |
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Abstract: | Summary The paper first provides a short review of the most common microeconometric models including logit, probit, discrete choice,
duration models, models for count data and Tobit-type models. In the second part we consider the situation that the micro
data have undergone some anonymization procedure which has become an important issue since otherwise confidentiality would
not be guaranteed. We shortly describe the most important approaches for data protection which also can be seen as creating
errors of measurement by purpose. We also consider the possibility of correcting the estimation procedure while taking into
account the anonymization procedure. We illustrate this for the case of binary data which are anonymized by ‘post-randomization’
and which are used in a probit model. We show the effect of ‘naive’ estimation, i. e. when disregarding the anonymization
procedure. We also show that a ‘corrected’ estimate is available which is satisfactory in statistical terms. This is also
true if parameters of the anonymization procedure have to be estimated, too.
Research in this paper is related to the project “Faktische Anonymisierung wirtschaftsstatistischer Einzeldaten” financed
by German Ministry of Research and Technology. |
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Keywords: | Duration model logit model misclassification post-randomization probit model Tobit model statistical disclosure JEL C21 C25 C42 C81 |
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