Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/278092 
Year of Publication: 
2023
Citation: 
[Journal:] Journal for Labour Market Research [ISSN:] 2510-5027 [Volume:] 57 [Issue:] 1 [Article No.:] 5 [Year:] 2023 [Pages:] 1-10
Publisher: 
Springer, Heidelberg
Abstract: 
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.
Subjects: 
SIAB
BHP
Microdata
Aggregation
Statistical Disclosure Control
JEL: 
C43
C80
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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