Predictive Analytics Supporting Labor Market Success: A Career Explorer for Job Seekers and Workforce Professionals in Michigan.

Autor/inn/en	O'Leary, Christopher J.; Orellana, Salomon; Doyle, Kevin; Eberts, Randall W.; Damerow, Ben; Meyers, Amy; Kline, Kenneth J.; Wilcoxson, Anna; Truesdale, Beth C.; Powell, Scott
Institution	W. E. Upjohn Institute for Employment Research (Kalamazoo, Mich.)
Titel	Predictive Analytics Supporting Labor Market Success: A Career Explorer for Job Seekers and Workforce Professionals in Michigan. Gefälligkeitsübersetzung: Prädiktive Analysen zur Unterstützung des Erfolgs auf dem Arbeitsmarkt: Ein Karriere-Explorer für Arbeitssuchende und Personalverantwortliche in Michigan.
Quelle	Kalamazoo, Mich. (2023), 46 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	Upjohn Institute working paper. 391
Sprache	englisch
Dokumenttyp	online; Monografie
DOI	10.17848/wp23-391
Schlagwörter	Bildungsertrag; Individualisierung; Computerprogramm; Arbeitsverwaltung; Selbstbedienung; Arbeitsloser; Arbeitsmarktchance; Arbeitsuchender; Arbeitsvermittlung; Arbeitsberater; Berufsberatung; Weiterbildungsberatung; Arbeitspapier; Inanspruchnahme; Informationsangebot; Profilbildung; Prognose; Prognosemodell; Statistische Methode; Öffentliche Verwaltung; Online; USA
Abstract	"Career Explorer provides customized career exploration tools for workforce development staff and job seekers in Michigan. There are separate Career Explorer modules for mediated staff services and self-service by job seekers. The system was developed by the Michigan Center for Data and Analytics in collaboration with the W.E. Upjohn Institute for Employment Research and Michigan Works! Southwest. It was funded by the U.S. Department of Labor's Office of Workforce Investment and the Schmidt Futures foundation's Data for the American Dream (D4AD) project. In this paper, we describe specifications of the models behind the frontline-staff-mediated version of Career Explorer, which are based on program administrative data, applying data-science methods for predictive analytics. We also describe the self-service Career Explorer, which provides customized labor market information based on published Bureau of Labor Statistics data. Career Explorer became an active feature of Michigan's online reemployment-services system in June 2021." The study refers to the period 2017-2023 (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2024/2