Algorithmic Profiling: Effective Tool for Targeting Active Labour Market Policies?

Autor/inn/en	Eppel, Rainer; Huemer, Ulrike; Mahringer, Helmut; Schmoigl, Lukas
Titel	Algorithmic Profiling: Effective Tool for Targeting Active Labour Market Policies? Gefälligkeitsübersetzung: Algorithmisches Profiling: Wirksames Instrument zur gezielten Ausrichtung aktiver Arbeitsmarktpolitik?
Quelle	In: Labour : review of labour economics and industrial relations, (2026) online first, 27 April 2026, S. 1-20 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1467-9914
DOI	10.1111/labr.70013
Schlagwörter	Algorithmus; Technologische Entwicklung; Arbeitsbeschaffungsmaßnahme; Arbeitsverwaltung; Lohnsubvention; Arbeitsmarktchance; Arbeitsmarktpolitik; Arbeitsvermittlung; Qualifizierungsmaßnahme; Schwer vermittelbarer Arbeitsloser; Auswahl; Auswirkung; Effizienz; Profilanalyse; Prognose; Trainingsmaßnahme; Öffentliche Verwaltung; Österreich
Abstract	"Digitisation has sparked interest in automated decision making in Public Employment Services (PES). We evaluate an algorithmic profiling model in Austria that predicts the reemployment prospects of unemployed individuals to classify and assign them to active labour market policies. Our analysis shows that reallocating resources from jobseekers with low to medium prospects, as proposed by the PES, does not yield the expected efficiency gains. We find no systematic evidence that programmes are less effective for individuals with low predicted employment prospects than for those with medium prospects. These findings caution against crude algorithmic profiling and highlight the need for nuanced targeting strategies that prioritise the most disadvantaged jobseekers." The study refers to the period 2014-2019 (Author's abstract, IAB-Doku, Published by arrangement with John Wiley & Sons).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2026/4