Analysis of Professional Trajectories using Disconnected Self-Organizing Maps
Etienne C\^ome (IFSTTAR/COSYS/GRETTIA), Marie Cottrell (SAMM), Patrice, Gaubert (ERUDITE)

TL;DR
This paper uses a novel disconnected self-organizing map to analyze American workers' employment trajectories, revealing heterogeneous labor market segments and challenging the notion of a homogeneous, equilibrium-driven labor market.
Contribution
It introduces a new D-SOM clustering method with disconnected components for analyzing employment data, providing insights into labor market heterogeneity.
Findings
Identification of distinct homogeneous labor market segments.
Evidence of heterogeneity in employment stability and wages.
Insights into labor market flexibility and equilibrium debate.
Abstract
In this paper we address an important economic question. Is there, as mainstream economic theory asserts it, an homogeneous labor market with mechanisms which govern supply and demand for work, producing an equilibrium with its remarkable properties? 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 and we compute a few relevant features which characterize the worker's situations. To perform this analysis, we suggest using a Self-Organizing Map (SOM, Kohonen algorithm) with specific structure based on planar graphs, with disconnected components (called D-SOM), especially interesting for clustering. We compare the…
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