Nous étudions les situations de chefs de famille américains vis-à-vis de l'emploi. Nous proposons pour cela une méthode de classification et de visualisation de données de grande dimension basée sur l'algorithme de Kohonen permettant l'apprentissage des cartes auto-organisatrices. Cette...

Using the Panel Study of Income Dynamics data on the period 1982-1992, this paper investigates some mechanisms of the labor market in the United States. This market is analyzed as a stable structure constituted of segments which present contrasted characteristics under the usual distinction...

In France, for administrative reasons, unemployed workers may actually be involved in occasional work while remaining identified as unemployed (and receiving the corresponding benefit). This is due to the fact that the unemployed are deemed to be seeking full-time jobs and non-fixed term...

The problem addressed in this article is the bias to income and expenditure elasticities estimated on pseudo-panel data caused by measurement error and unobserved heterogeneity. We gauge empirically these biases by comparing cross-sectional, pseudo-panel and true panel data from both Polish and...

The paper deals with the study of labor market dynamics, and aims to characterize its equilibriums and possible trajectories. The theoretical background is the theory of the segmented labor market. The main idea is that this theory is well adapted to interpret the observed trajectories, due to...

Le papier se propose d'étudier la dynamique du marché du travail, en cherchant à caractériser des équilibres dynamiques et des trajectoires possibles. L'arrière-plan théorique est la théorie du marché du travail segmenté. L'idée est que cette théorie est particulièrement bien...

Pseudo panels constituted with repeated cross-sections are good substitutes to true panel data. But individuals grouped in a cohort are not the same for successive periods, and it results in a measurement error and inconsistent estimators. The solution is to constitute cohorts of large numbers...