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Randomised Experiments and the Evaluation of Innovative Placement Schemes for the Unemployed

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  • Marc Ferracci

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - GENES - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - GENES - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique, LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes, LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po)

  • Florine Martin

    (ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

Abstract

Improving counselling and placement schemes for the unemployed is a key element of active labour-market policies. While a number of academic papers have focussed on jobseeker-centred schemes, we here evaluate new innovative methods that aim to improve caseworker efficiency. Two different treatments are evaluated via randomised experiments. The first provides caseworkers with help in the organization of their time, by allowing them to focus on a limited number of jobseekers. The second consists in increasing the human resources that are devoted to collecting job offers and matching them to jobseekers. The results show that both schemes raise the average exit rate out of unemployment, but that this positive effect is not systematic, as it varies with the individual characteristics of the unemployed. This raises the issue of the spillovers that are generated by such schemes.

Suggested Citation

  • Marc Ferracci & Florine Martin, 2015. "Randomised Experiments and the Evaluation of Innovative Placement Schemes for the Unemployed," Post-Print hal-04509098, HAL.
    • Handle: RePEc:hal:journl:hal-04509098
    DOI: 10.4000/travailemploi.6833
    Note: View the original document on HAL open archive server: https://hal.science/hal-04509098v1
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    References listed on IDEAS

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    1. Marc Ferracci & Gr�gory Jolivet & Gerard J. van den Berg, 2014. "Evidence of Treatment Spillovers Within Markets," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 812-823, December.
    2. Bruno, CREPON & Muriel, DEJEMEPPE & Marc, GURGAND, 2005. "Counseling the unemployed : does it lower unemployment duration and recurrence ?," Discussion Papers (ECON - Département des Sciences Economiques) 2005034, Université catholique de Louvain, Département des Sciences Economiques.
    3. Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 531-580.
    4. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2004. "Evaluating the Employment Impact of a Mandatory Job Search Program," Journal of the European Economic Association, MIT Press, vol. 2(4), pages 569-606, June.
    5. Marc Ferracci, 2007. "Améliorer le service public de l'emploi : ce que disent les faits," Revue Française d'Économie, Programme National Persée, vol. 21(3), pages 75-135.
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