Evaluation of Language Training Programs in Luxembourg using Principal Stratification
Observational Studies () Submitted ; Published Evaluation of Language Training Programs in Luxembourg using Principal Stratification Michela Bia michela.bia@liser.lu Evaluation Unit LISER Luxembourg Institute of Socio-Economic Research Luxembourg Alfonso Flores-Lagunes afloresl@syr.edu Department of Economics and Center for Policy Research Syracuse University, USA, and IZA, Bonn, and Global Labor Organization (GLO) Andrea Mercatanti andrea.mercatanti@univr.it Department of Economics, University of Verona, Italy, and Global Labor Organization (GLO) Abstract In a world increasingly globalized, m... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
Verlag/Hrsg.: |
University of Pennsylvania Press
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Schlagwörter: | language training program / policy evaluation / principal stratification / mixture model / unconfoundedne / sensitivity analysis |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26745960 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/11573/1656295 |
Observational Studies () Submitted ; Published Evaluation of Language Training Programs in Luxembourg using Principal Stratification Michela Bia michela.bia@liser.lu Evaluation Unit LISER Luxembourg Institute of Socio-Economic Research Luxembourg Alfonso Flores-Lagunes afloresl@syr.edu Department of Economics and Center for Policy Research Syracuse University, USA, and IZA, Bonn, and Global Labor Organization (GLO) Andrea Mercatanti andrea.mercatanti@univr.it Department of Economics, University of Verona, Italy, and Global Labor Organization (GLO) Abstract In a world increasingly globalized, multiple language skills can create more employment opportu- nities. Several countries include language training programs in active labor market programs for the unemployed. We analyze the effects of a language training program on the re-employment probability and hourly wages simultaneously, using high-quality administrative data from Luxem- bourg. We address selection into training with an unconfoundedness assumption and account for the complication that wages are “truncated” by unemployment by adopting a principal stratifica- tion framework. Estimation is undertaken with a mixture model likelihood-based approach. To improve inference, we use the individual’s hours worked as a secondary outcome and a stochastic dominance assumption. These two features considerably ameliorate the multimodality problem commonly encountered in mixture models. We also conduct a sensitivity analysis to assess the unconfoundedness assumption. Our results suggest a positive effect (of up to 12.7 percent) of the language training programs on the re-employment probability, but no effects on wages for those who are observed employed regardless of training participation.