Evaluation of education and training impacts for the unemployed: Challenges of new data.

Autor/inn/en	Cerqua, Augusto; Urwin, Peter; Thomson, Dave; Bibby, David
Titel	Evaluation of education and training impacts for the unemployed: Challenges of new data. Gefälligkeitsübersetzung: Evaluierung der Auswirkungen von Aus- und Weiterbildung für Arbeitslose: Herausforderungen durch neue Daten.
Quelle	In: Labour economics, (2020) 67 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	0927-5371
DOI	10.1016/j.labeco.2020.101907
Schlagwörter	Bildungsertrag; Beschäftigungseffekt; Ausbildung; Arbeitsloser; Arbeitsmarktpolitik; Berufliche Integration; Weiterbildung; Weiterbildungsförderung; Abbruch; Auswirkung; Absolvent; Großbritannien
Abstract	"This study utilises an exceptionally rich English administrative dataset, to estimate employment impacts from training voluntarily initiated by unemployed individuals. A Coarsened Exact Matching approach is adopted, in a dynamic evaluation framework, to estimate impacts up to 5 years from training start. We identify economically and statistically significant impacts, estimated separately for (i) all training starters, (ii) the partially, and (iii) fully treated. Investigation of possible endogenous selection into partial/full treatment, using distance to training provider as an instrumental variable, suggests inclusion of extensive employment and learning histories in a matching framework, justifies invocation of the conditional independence assumption for comparisons of full/partial treatment. The partially treated secure a return that is, on average, 2 percentage points lower than full treatment. Thus, an `intention to treat' approach would not alter conclusions on the efficacy of training; but using the partially treated to estimate counterfactual outcomes risks understating returns." (Author's abstract, IAB-Doku, © 2021 Elsevier).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2021/3