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Optimal matching analysis and life course data: the importance of duration

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dc.contributor.author Halpin, Brendan
dc.date.accessioned 2014-01-24T15:39:31Z
dc.date.available 2014-01-24T15:39:31Z
dc.date.issued 2008
dc.identifier.uri http://hdl.handle.net/10344/3627
dc.description non-peer-reviewed en_US
dc.description.abstract The Optimal Matching Algorithm is widely used for sequenace analysis in sociology. It has a natural interpretation for discrete-time sequences, but is also widely used for life history data, which is continuous in time. Life history data is arguably better dealt with in terms of episodes rather than as a string of time-unit observations, and the paper addresses the question of whether standard the OM algorithm is unsuitable for such sequences. A modified version of the algorithm is proposed, which weights OM’s elementary operations inversely with episode length. In the general case, the modified algorithm produces pairwise distances much lower than the standard algorithm, the more the sequences are composed of long spells in the same state. However, where all the sequences in a data set consist of few long spells, and there is low variability in the number of spells, the modified algorithm generates an overall pattern of distances that is not very different from standard OM. en_US
dc.language.iso eng en_US
dc.publisher Department of Sociology, University of Limerick en_US
dc.relation.ispartofseries University of Limerick Department of Sociology Working Paper Series;WP2008-01
dc.relation.uri http://www.ul.ie/sociology/pubs/
dc.subject sequence analysis in sociology en_US
dc.subject optimal matching algorithm en_US
dc.title Optimal matching analysis and life course data: the importance of duration en_US
dc.type info:eu-repo/semantics/workingPaper en_US
dc.type.supercollection all_ul_research en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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