Arbeitspapier
Predictive analytics supporting labor market success
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Upjohn Institute Working Paper ; No. 23-391
- Klassifikation
-
Wirtschaft
Unemployment Insurance; Severance Pay; Plant Closings
Mobility, Unemployment, and Vacancies: Public Policy
State and Local Government: Other Expenditure Categories
- Thema
-
dislocated workers
disadvantaged adults
Workforce Innovation and Opportunity Act (WIOA)
labor market information
career exploration
reemployment services
occupational choice
occupational mix of employment
industrial mix of employment
workforce areas
- Ereignis
-
Geistige Schöpfung
- (wer)
-
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
- Ereignis
-
Veröffentlichung
- (wer)
-
W.E. Upjohn Institute for Employment Research
- (wo)
-
Kalamazoo, MI
- (wann)
-
2023
- DOI
-
doi:10.17848/wp23-391
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- 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
- W.E. Upjohn Institute for Employment Research
Entstanden
- 2023
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