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On statistical methods for labor market evaluation under interference between units
Umeå universitet, Samhällsvetenskapliga fakulteten, Handelshögskolan vid Umeå universitet, Statistik.
Umeå universitet, Samhällsvetenskapliga fakulteten, Handelshögskolan vid Umeå universitet, Statistik.
2016 (Engelska)Rapport (Refereegranskat)
Abstract [en]

Evaluation studies aim to provide answers to important questions like: How does this program or policy intervention affect the outcome variables of interest? In order to answer such questions, using the traditional statistical evaluation (or causal inference) methods, some conditions must be satised. One requirement is that the outcomes of individuals are not affected by the treatment given to other individuals, i.e., that the no-interference assumption is satisfied. This assumption might, in many situations, not be plausible. However, recent progress in the research field has provided us with statistical methods for causal inference even under interference. In this paper, we review some of themost important contributions made. We also discuss how we think these methods can or cannot be used within the field of policy evaluation and if there are some measures to be taken when planning an evaluation study in order to be able to use a particular method. In addition, we give examples on how interference has been dealt within some evaluation applications including, but not limited to, labor market evaluations, in the recent past.

Ort, förlag, år, upplaga, sidor
Uppsala: Institutet för arbetsmarknads- och utbildningspolitisk utvärdering, IFAU , 2016. , s. 35
Serie
IFAU Working Paper, ISSN 1651-1166 ; 2016:24
Nyckelord [en]
causal effect, causal inference, contagion effect, direct and indirect effects, evaluation studies, neighborhood effect, peer effect, peer influence effect, policy intervention, spillover effect, SUTVA, treatment effect
Nationell ämneskategori
Sannolikhetsteori och statistik
Forskningsämne
statistik
Identifikatorer
URN: urn:nbn:se:umu:diva-128893OAI: oai:DiVA.org:umu-128893DiVA, id: diva2:1057546
Forskningsfinansiär
Institutet för arbetsmarknads- och utbildningspolitisk utvärdering (IFAU), 152/2012Tillgänglig från: 2016-12-19 Skapad: 2016-12-19 Senast uppdaterad: 2018-06-09

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Working paper 2016:24

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Karlsson, MariaLundin, Mathias

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Totalt: 162 träffar
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