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Statistically Assisted Programme Selection - International Experiences and Potential Benefits for Switzerland
Journal
Swiss Journal of Economics and Statistics
ISSN
0303-9692
Type
journal article
Date Issued
2003-01-01
Author(s)
Abstract
Allocating people into social programmes on the basis of statistical tools has gained increasing acceptance in recent years. The need for better targeting of active labour market programmes recently has arisen in Switzerland, too. Statistically assisted programme allocation could be an effective tool to increase the effectiveness of labour market policies. It is a software tool that assists the caseworkers in public employment centres to find adequate measures for unemployed people to get them back to work. This paper gives a short overview of the methodologies applied in various countries and assesses their capabilities to serve the purpose of improving overall programme outcomes. Based on these experiences, an approach suitable for Switzerland is proposed and its potential benefits are investigated. On the basis of very rich data about programme participants in 1998 and 1999, a reallocation into programmes is simulated retrospectively. The reallocation is done according to individual-specific estimates of the usefulness of programmes for each person. The results of the simulations show that the reemployment share could have been improved substantially. Hence, a statistical allocation system could be very fruitful for Switzerland.
(http://www.sjes.ch/papers/2003-III-4.pdf)
Download Internet Appendix (pdf, 80 kb)
(http://www.sjes.ch/papers/2003-III-4.pdf)
Download Internet Appendix (pdf, 80 kb)
Language
English
Keywords
active labour market policy
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Helbing & Lichtenhahn
Publisher place
Basel
Volume
139
Number
3
Start page
311
End page
331
Pages
21
Subject(s)
Eprints ID
15873
File(s)
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open access
Name
Statistically_Assisted_Programme_Selection_International_Experiences_and_Potential_Benefits_for_Switzerland.pdf
Size
506.65 KB
Format
Adobe PDF
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