SFB 303 Discussion Paper No. A - 346
Author: Gyarfas, Gabor, and Hermann Quinke
Title: Ein Verfahren zur Konstruktion synthetischer Mikrodaten aus
aggregierten Stukturinformationen
Abstract: Simulation analyses of the tax-transfer system require
disaggregated data. If microdata are not available - e.g. because
of privacy issues - often a large number of published tables
(aggregate structural information) can be utilized. In addition to
these "hard" data there are frequently more or less "soft" prior
notions based on other (older or foreign) data sources or simply
on ad hoc reasoning. Our paper presents a method for the construction
of synthetic microdata from aggregate structural information and a prior
distribution. Such a database is not only consistent with the available
information, but it also has desirable statistical properties in the
case of large samples. We prove that the empirical distributions
corresponding to the synthetic samples converge to the distribution
that is consistent with the aggregate information and maximizes the
entropy relative to the prior distribution. Two small Monte Carlo
experiments illustrate this proposition.
Keywords:
JEL-Classification-Number:
Creation-Date: October, 1991
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