Population aggregates from administrative data samples-how good are they?

Researchers regularly use administrative micro-data samples to approximate subgroup aggregates from the full population. In this paper, I argue that the most commonly used method to do this is often not optimal. I outline some alternatives and compare their relative performance in selected cases. I also discuss the effect of statistical disclosure control on the aggregated data and how researchers can reduce bias resulting from censoring.

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Year of publication:	2023
Authors:	vom Berge, Philipp
Published in:	Journal for Labour Market Research. - ISSN 2510-5027. - Vol. 57.2023, 1, p. 1-10
Publisher:	Heidelberg : Springer
Subject:	SIAB \| BHP \| Microdata \| Aggregation \| Statistical Disclosure Control

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	10.1186/s12651-023-00334-x [DOI] 1860608442 [GVK] hdl:10419/278092 [Handle]
Classification:	C43 - Index Numbers and Aggregation ; C80 - Data Collection and Data Estimation Methodology; Computer Programs. General
Source:	EconStor

Persistent link: https://www.econbiz.de/10014370271