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Evaluation of dynamic participation in portuguese active employment programmes

dc.contributor.authorNunes, Alcina
dc.date.accessioned2012-04-10T12:26:41Z
dc.date.available2012-04-10T12:26:41Z
dc.date.issued2011
dc.description.abstractOver the past decades, European labour market policies, like the Portuguese, offer not only a set of simultaneous active programmes, to the universe of unemployed registered individuals, but also the possibility of successive participation in different active programmes. Such dynamic participation patterns have as a consequence different average causal effects to participants. Aware of this reality, the present paper discusses how to overcome the limitations of the traditional labour market microeconometric evaluation literature, eminently static, to empirically estimate the impact of dynamic selection. In recent years it is possible to report several developments concerning the introduction of dynamic elements in the traditional evaluation econometric models. For instance, is important to report that causal effects of dynamic sequences make use of potential results and allow the introduction of intermediate results which determine subsequent sequences. The application presented in this research study uses an administrative dataset containing extensive individual information concerning the active public intervention on the Portuguese labour market. Based on this dataset, it will be shown that it is possible to make a quantitative analysis on the impact participation of an unemployed individual on a sequence of active measures offered by the unemployment office services. The present empirical study analyses the power of the dynamic nonparametric model as a fundamental tool of an active labour market policy evaluation, and allows, even if in an exploratory way, the evaluation of the consequences of sequential participation. Indeed, based on propensity score matching microeconometric evaluation techniques it is possible to compute the causal effect of the decision to postpone participation in an active labour programme, vis-à-vis the decision of consecutive labour programme participation, on the one hand, and continuous non-participation, on the other. The evaluation results of a consecutive participation decision in comparison with the alternative of non-participation or postponed participation suggest a low degree of effectiveness by the Portuguese public intervention in the labour market. Moreover, the empirical application of a dynamic propensity score methodology seems to be a quite useful tool for the estimation of dynamic causal effects when the effectiveness of a sequence of participation decisions is tested compared to a distinct sequence of decisions.por
dc.identifier.citationNunes, Alcina (2011). Evaluation of dynamic participation in portuguese active employment programmes. In 10th European Conference on Research Methodology for Business and Management Studies. Normandy Business School, France. p.411-419. ISBN 978-1-908272-02-7.por
dc.identifier.isbn978-1-908272-02-7
dc.identifier.urihttp://hdl.handle.net/10198/6767
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherMarie Ashwin, Normandy Business School - Francepor
dc.subjectEvaluation researchpor
dc.subjectSocial programmespor
dc.subjectActive labour market policiespor
dc.subjectSequential treatmentspor
dc.subjectPropensity score matchingpor
dc.titleEvaluation of dynamic participation in portuguese active employment programmespor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceNormandy Business School, Francepor
oaire.citation.endPage419por
oaire.citation.startPage411por
oaire.citation.titleThe Proceedings of the 10th European Conference on Research Methodology for Business and Management Studiespor
person.familyNameNunes
person.givenNameAlcina
person.identifier.ciencia-id1111-680F-0CAF
person.identifier.orcid0000-0003-4056-9747
person.identifier.ridM-8259-2013
person.identifier.scopus-author-id55907654000
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationf96c3560-c1d3-432c-aa84-49982ea86106
relation.isAuthorOfPublication.latestForDiscoveryf96c3560-c1d3-432c-aa84-49982ea86106

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