Profiling long-term unemployment utilising the logit model : a New Zealand case study : a thesis presented in partial fulfilment of the requirements for the degree of Master of Applied Economics at Massey University

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dc.contributor.authorThompson, V. Wesley
dc.date.accessioned2017-05-22T02:01:35Z
dc.date.available2017-05-22T02:01:35Z
dc.date.issued2001
dc.description.abstractThis study attempts to fit the logit model to a random sample of data compiled by the New Zealand Employment Service on individuals who have completed unemployment spells, over the period 1988-1997. The objective is to estimate the probability that an individual job seeker, with a certain set of personal attributes, will become long-term unemployed. The regression results are consistent with a priori expectations. However, the predictive power of the model is low, lending support to conclusions from other empirical studies that have used other approaches to modelling long-term unemployment in New Zealand. That is, the current set of personal attributes on which data arc collected in New Zealand are inadequate for modelling long-term unemployment.en_US
dc.identifier.urihttp://hdl.handle.net/10179/11048
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectEconometric modelsen_US
dc.subjectUnemploymenten_US
dc.subjectNew Zealanden_US
dc.subjectHard-core unemployeden_US
dc.titleProfiling long-term unemployment utilising the logit model : a New Zealand case study : a thesis presented in partial fulfilment of the requirements for the degree of Master of Applied Economics at Massey Universityen_US
dc.typeThesisen_US
massey.contributor.authorThompson, V. Wesleyen_US
thesis.degree.disciplineApplied Economicsen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Applied Economics (M. Appl. Econ.)en_US
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