Playing with matches: An assessment of accuracy in linked historical data
Catherine G. Massey
Historical Methods: A Journal of Quantitative and Interdisciplinary History, 2017, vol. 50, issue 3, 129-143
Abstract:
This article evaluates linkage quality achieved by various record linkage techniques used in historical demography. The author creates benchmark, or truth, data by linking the 2005 Current Population Survey Annual Social and Economic Supplement to the Social Security Administration's numeric identification system by social security number. By comparing simulated linkages to the benchmark data, she examines the value added (in terms of number and quality of links) from incorporating text-string comparators, adjusting age, and using a probabilistic matching algorithm. She finds that text-string comparators and probabilistic approaches are useful for increasing the linkage rate, but use of text-string comparators may decrease accuracy in some cases. Overall, probabilistic matching offers the best balance between linkage rates and accuracy.
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://hdl.handle.net/10.1080/01615440.2017.1288598 (text/html)
Access to full text is restricted to subscribers.
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:taf:vhimxx:v:50:y:2017:i:3:p:129-143
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/vhim20
DOI: 10.1080/01615440.2017.1288598
Access Statistics for this article
Historical Methods: A Journal of Quantitative and Interdisciplinary History is currently edited by J. David Hacker and Kenneth Sylvester
More articles in Historical Methods: A Journal of Quantitative and Interdisciplinary History from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().