EconPapers    
Economics at your fingertips  
 

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

Philipp vom Berge ()
Additional contact information
Philipp vom Berge: Institute for Employment Research (IAB)

Journal for Labour Market Research, 2023, vol. 57, issue 1, 1-10

Abstract: 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.

Keywords: SIAB; BHP; Microdata; Aggregation; Statistical Disclosure Control (search for similar items in EconPapers)
JEL-codes: C43 C80 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1186/s12651-023-00334-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jlabrs:v:57:y:2023:i:1:d:10.1186_s12651-023-00334-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/12651

DOI: 10.1186/s12651-023-00334-x

Access Statistics for this article

Journal for Labour Market Research is currently edited by Joachim Möller

More articles in Journal for Labour Market Research from Springer, Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jlabrs:v:57:y:2023:i:1:d:10.1186_s12651-023-00334-x