Year: 2001
Type: article
Abstract: This paper examines the salient features of sequence analysis in demographic research. 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.
Source: Canadian Studies in Population
DOI: 10.25336/p6g30c
Author: Francesco C. Billari
Institution: Max Planck Institute for Demographic Research
Language: English
Subfield: Demography
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,290
OpenAlex ID: W1885854752
