Objective
We proposes to deal with two major components of structural unemployement: long-term unemployment and repeat unemployement. We shall focus on the interrelations between the two phenomena and on the role played by individual characteristics and labour market institutions. In particular we shall consider institutions such as unemployment insurance unemployment assistance training programs for the unemployed local job offices and firms. The theoretical framework for the analysis are job search models. Job search models present the advantage over competitive explanations of labour market behaviour of alloying for uncertainty and labour market dynamics. We shall test the implications of our model using a panel dataset for Denmark. Panel datasets allow one to follow individuals over time and to register changes in the insitutions and the labour market. The danish panel is unique in Europe for the completeness of the information available and the time span covered. We shall estimate hazard rate models of unemployment duration together with selection into unemployment and training programs; count data models of repeat unemployment; logit and probit models. We expect to be able to draw economic policy conclusions for example on whether unemployment insurance should be experience rated. Learning of new methodologies such as count models; development of already acquired knowledge on duration and binary probability models; deepening of the knowledge of job search modelling; deeper understanding of the working of European labour markets and of the Danish labour market; developing considerations about the impact of institutions on unemployment which may be later applied to the Italian labour market and to other communities labour markets; an increase in the knowledge of long-term unemployment and repeat unemployment. of the policies that could be used to defeat them. At a later stage it may be useful to consult some (danish) firms about their views and reactions concerning experience rated unemployment insurance schemes.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business business and management employment
- social sciences sociology social issues unemployment
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
8210 Århus
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.