Sequence Analysis in Demographic Research | Zendy

Francesco C. Billari | Zendy

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Sequence Analysis in Demographic Research

Author(s) -

Francesco C. Billari

Publication year - 2001

Publication title -

canadian studies in population

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.157

H-Index - 8

eISSN - 1927-629X

pISSN - 0380-1489

DOI - 10.25336/p6g30c

Subject(s) - salient , perspective (graphical) , sequence (biology) , representation (politics) , matching (statistics) , computer science , data science , life course approach , data collection , data mining , artificial intelligence , sociology , statistics , mathematics , social science , psychology , political science , social psychology , genetics , politics , law , biology

This paper examines the salient features of sequence analysis in demographicresearch. The new approach allows a holistic perspective on life course analysis, and is based on a representation of lives as sequences of states. Some of the methods for analysing such data are sketched, from complex description to optimal matching to monothetic divisive algorithms. After a short illustration of a demographically relevant example, the needs in terms of data collection and the opportunities of applying the same approach to synthetic data are discussed.

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