Multilevel analysis in the social sciences.
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Biomedical subjects
Publications and source records attributed to D Courgeau.
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"This article presents results from a longitudinal study using data from the Norwegian population register, combined with data from the 1970 and 1980 censuses. For two generations, those born in 1948 and 1958, successive migrations are considered and the effects of various sociodemographic characteristics on migratory behaviour are explored....Event-history analysis is used to examine the duration of stay at the place reached at age 22, and the effects of individual characteristics on this duration. Since a distinction is made between intra- and inter-regional migration, it has been possible to show that these effects vary significantly depending on whether we are dealing with short- or long-distance migration."
"Event history analysis...has [over time] branched out in two directions: on the one hand, surveys collecting retrospective information on respondent's life course, family and occupational histories, residential mobility...; on the other, individual biographies compiled by extracting information from administrative sources (vital registration data, census schedules, notifications of residence...). Each method has constraints--the second, in particular, because of depending on the availability of administrative data: job changes are never registered and in France, neither are residential moves. That limits observation to the information collected when a census is held or a vital event registered. [The authors] test here the validity of these incomplete data by comparing them to information supplied by an ad hoc survey."
"This review presents a probabilistic formulation of the decision making process, leading to a rigorous treatment of migration behaviour for projection purposes....Aggregate-level models may be applied to migration flows for which the objectively measured characteristics of areas of department and destination act as subjectively measured characteristics and stimuli....Individual-level models use event history methods of analysis to introduce a great variety of characteristics of the subject on the decision to move. They lead to projections using microsimulation models. A further step is taken in integrating macro- and microbehavioural models. The use of aggregate and individual characteristics simultaneously leads to more efficient and sophisticated projection models: the factors affecting behaviour at the micro-level cannot be inferred from aggregate studies and conversely."
"In the last decade, life-event history analysis, also called failure time data analysis or survival analysis, has been widely adopted by demographers. This methodology in demography allows [us] to overcome major hurdles especially when analyzing longitudinal survey data. This paper describes the new perspectives opened to research in that field, and is illustrated by new results and examples of research projects. The authors concentrate on four issues: the analysis of incorrect and imperfect data, the analysis based on more complex data and lastly the study of interaction between phenomena." (SUMMARY IN ENG AND SPA)
"In the present paper, we shall examine...changes in the field of demography, by following the progression from period analysis to cohort analysis. We shall discuss the hypotheses underlying each of these approaches and show how their distance from actual human behaviour could lead to mistaken or incomplete conclusions. We shall then show how event history analysis can solve these problems and we shall define the hypotheses implied by this new approach. Finally, we shall come back to the complimentarity of the different social sciences."
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"This article will deal with two stages in the family life course: formation of the couple through marriage, and the birth of successive children.... We shall investigate whether migration into or out of a metropolitan area modifies the formation of the family, and conversely whether the different stages in family formation modify migration behaviour....First, using a nonparametric approach, we shall consider the sequence of events throughout an individual's life-course, and thereby demonstrate how the occurrence of one life-event alters the probability of the occurrence of others." Next, a semiparametric approach is used to analyze the impact of variables such as educational level, occupational level, and social class on marriage, fertility, and migration. The geographic focus is on France.
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The merits of a biographical approach to demographic analysis are examined using survey data. "The analysis of complex interaction between diverse phenomena, using bivariate or multivariate models has been elaborated, and it allows the discovery of various types of dependence between events (reciprocal or unilateral) or of their independence. At this stage, heterogeneity of the observed populations was introduced, with the help of parametric or semi-parametric models, which point out the different strategies followed. The problems caused by non-observed heterogeneity have been partially solved but interdisciplinary collaboration would now appear to be necessary." (SUMMARY IN ENG AND GER AND SPA)