Professional Trajectories of Workers Using Disconnected Self-Organizing Maps

Using the Panel Study of Income Dynamics (PSID) collected on the period 1984-2003, we study the situations of American workers with respect to employment. The data include all heads of household (men or women) as well as the partners who are on the labor market, working or not. They are extracted from the complete survey by computing a few relevant features which characterize the worker’s situations. To perform this analysis, we suggest to use a Self-Organizing Map (Kohonen algorithm) with specific topology. In this paper we present a new topology for SOM based on a planar graph with disconnected components (called D-SOM) which is especially interesting for clustering. Each component takes the form of a string and corresponds to an organized cluster. From this clustering, we study the dynamics at the individual level, that is the trajectories of the individuals among the classes during the observed period. Then we estimate the transition probability matrices for each studied year and the corresponding stationary distributions. Finally, we try to give an answer to the question: is there a significant change in 1992 (new economic policies after the Reaganomics).

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Field Value
Source 9th Workshop on Self-Organizing Maps (WSOM 2012)
Author Come, Etienne, Cottrell, Marie, Gaubert, Patrice
Maintainer CCSD
Last Updated May 6, 2026, 03:44 (UTC)
Created May 6, 2026, 03:44 (UTC)
Identifier hal-00952853
Language en
contributor Génie des Réseaux de Transport Terrestres et Informatique Avancée (IFSTTAR/GRETTIA) ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
creator Come, Etienne
date 2012-12-12T00:00:00
harvest_object_id f9e9136c-e488-451c-90af-6bc6b405db8c
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-27T00:00:00
set_spec type:COMM