The event history approach, which has led to a reformulation of the ba
ses of demographic methodology in terms of analysis of complex stochas
tic processes (Courgeau and Lelievre, 1989; 1996), is applied using in
dividual longitudinal data. Ideally, however. each individual itinerar
y would be situated in as broad a context as possible, and the analysi
s of individual demographic processes would take account of the close
or competing events affecting the individual's entourage. In event his
tory modelling, a shift from the individual to their entourage, for bo
th data collection and analysis, implies a reconsideration of the choi
ce of entities for longitudinal monitoring. A compromise must be reach
ed between conceptual operationality and analytical consistency, in te
rms of both theory and models: this article presents the formal develo
pments, then the more applied results from this on-going research.