Attrition and retention of apprentices: an exploration of event history data using a multi-state modelling framework

John Mangan () and Bernard Trendle

Education Economics, 2017, vol. 25, issue 4, 406-417

Abstract: There is widespread public concern at the high drop-out rates among apprentices in Australia. This paper argues that this concern may be misplaced as it fails to allow for eventual completion over time. We argue that a methodology that concentrates on a single training episode only is less appropriate to evaluating training outcomes in a regime where apprentices routinely record multiple episodes of training. This paper uses a multi-state approach to model the behaviour of a large sample of apprentices over a 60 month period which proves well suited to the episodic nature of cases observed in the data.

Date: 2017
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DOI: 10.1080/09645292.2016.1213795

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