The Effect of Microaggregation Procedures on the Estimation of Linear Models: A Simulation Study

Schmid Matthias () and Schneeweiss Hans ()
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Schmid Matthias: University of Munich, Department of Statistics, Ludwigstrasse 33, D-80539 Munich, Germany
Schneeweiss Hans: University of Munich, Department of Statistics, Akademiestrasse 1, D-80799 Munich, Germany

Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2005, vol. 225, issue 5, 529-543

Abstract: Microaggregation is a set of procedures that distort empirical data in order to guarantee their factual anonymity. At the same time the information content of data sets should not be reduced too much and should still be useful for scientific research. This paper investigates the effect of microaggregation on the estimation of a linear regression by ordinary least squares. It studies, by way of an extensive simulation experiment, the bias of the slope parameter estimator induced by various microaggregation techniques. Some microaggregation procedures lead to consistent estimates while others imply an asymptotic bias for the estimator.

Keywords: Microaggregation; disclosure control; simple linear model; bias; consistency (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:225:y:2005:i:5:p:529-543

DOI: 10.1515/jbnst-2005-0504

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