Predicting successful and unsuccessful transitions from school to work by using sequence methods

作者: Duncan McVicar , Michael Anyadike-Danes

DOI: 10.1111/1467-985X.00641

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摘要: Policy makers recognize the importance of identifying early young people who are likely to end up jobless on entry adult labour market. This paper uses sequence techniques characterize 712 peoples' transitions from school work into `types', with types interpreted as unsuccessful transitions. A logit model is estimated for transition type using a collection static individual, family and characteristics. allows us identify which most experience might use such information target social educational policy more effectively promote inclusion.

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