1994
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Catherine Béduwé, « La mobilité géographique des étudiants diplômés. Probabilités individuelles et effets structurels », Formation Emploi (documents), ID : 10.3406/forem.1994.2077
Catherine Béduwé, The geographical mobility of recent University graduates. Why is it that one third of all the French students who graduate from the University each year move to another region when they start working for the first time ? This mobility is mainly due to the fact that although University training is available in many parts of France, the pattern of employment over the country as a whole is quite different, since it is concentrated in just a few areas which are particularly dynamic from the economic point of view. This explanation does not take the complexity of human behaviour fully into account, however. Some of the students will leave a given region for example, while others with the same training will stay on in that region. Based on a set of individual data collected by CEREQ on recent graduates from higher educational institutions, these behavioural patterns are examined in the light of a probabilistic statistical model, in terms of each students's individual characteristics, the type of training undergone and the conditions of entry into the corresponding sector of the labour market. This shows the relative importance of each of the factors involved. The most decisive factor turns out in fact to be the attraction exerted by the main economic centres. The type of training plays a more complex role, since the choice of the place at which the higher training took place may have previously led to making a change of region. The fact that the great inter-individual variability of human behaviour considerably affects geographical mobility is furthermore demonstrated by the fact that the social variables introduced into the model were consistently found to have significant effects. pattern of employment over the country as a whole is quite different, since it is concentrated in just a few areas which are particularly dynamic from the economic point of view. This explanation does not take the complexity of human behaviour fully into account, however. Some of the students will leave a given region for example, while others with the same training will stay on in that region. Based on a set of individual data collected by CEREQ on recent graduates from higher educational institutions, these behavioural patterns are examined in the light of a probabilistic statistical model, in terms of each students's individual characteristics, the type of training undergone and the conditions of entry into the corresponding sector of the labour market. This shows the relative importance of each of the factors involved. The most decisive factor turns out in fact to be the attraction exerted by the main economic centres. The type of training plays a more complex role, since the choice of the place at which the higher training took place may have previously led to making a change of region. The fact that the great inter-individual variability of human behaviour considerably affects geographical mobility is furthermore demonstrated by the fact that the social variables introduced into the model were consistently found to have significant effects.