NDLI: Microeconometric models and anonymized micro data

Content Provider	Springer Nature Link
Author	Ronning, Gerd
Copyright Year	2006
Abstract	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.
Starting Page	153
Ending Page	166
Page Count	14
File Format	PDF
ISSN	00026018
Journal	AStA Advances in Statistical Analysis
Volume Number	90
Issue Number	1
e-ISSN	16140176
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Duration model logit model misclassification post-randomization probit model Tobit model statistical disclosure. JEL C21, C25, C42, C81 Probability Theory and Stochastic Processes Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Econometrics
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability

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