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

Author

Listed:
  • Christopher J. O'Leary

    (W.E. Upjohn Institute for Employment Research)

  • Salomon Orellana

    (Michigan Center for Data and Analytics)

  • Kevin Doyle

    (Michigan Center for Data and Analytics)

  • Randall W. Eberts

    (W.E. Upjohn Institute for Employment Research)

  • Ben Damerow

    (W.E. Upjohn Institute for Employment Research)

  • Amy Myers

    (W.E. Upjohn Institute for Employment Research)

  • Kenneth Kline

    (W.E. Upjohn Institute for Employment Research)

  • Anna Wilcoxson

    (Michigan Center for Data and Analytics)

  • Beth C. Truesdale

    (W.E. Upjohn Institute for Employment Research)

  • Scott Powell

    (Michigan Center for Data and Analytics)

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.

Suggested Citation

  • Christopher J. O'Leary & Salomon Orellana & Kevin Doyle & Randall W. Eberts & Ben Damerow & Amy Myers & Kenneth Kline & Anna Wilcoxson & Beth C. Truesdale & Scott Powell, 2023. "Predictive Analytics Supporting Labor Market Success: A Career Explorer for Job Seekers and Workforce Professionals in Michigan," Upjohn Working Papers 23-391, W.E. Upjohn Institute for Employment Research.
    • Handle: RePEc:upj:weupjo:23-391
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    References listed on IDEAS

    as
    1. Stefanie Behncke & Markus Frölich & Michael Lechner, 2009. "Targeting Labour Market Programmes - Results from a Randomized Experiment," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(III), pages 221-268, September.
    2. Marta Lachowska & Isaac Sorkin & Stephen A. Woodbury, 2022. "Firms and Unemployment Insurance Take-Up," Upjohn Working Papers 22-369, W.E. Upjohn Institute for Employment Research.
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    More about this item

    Keywords

    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;
    All these keywords.

    JEL classification:

    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • H76 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Other Expenditure Categories

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