1 / 13

1984 Community College Cohort: Key Observations using Linked Administrative Data

1984 Community College Cohort: Key Observations using Linked Administrative Data. October 29, 2012 Presenter: Ting Zhang , Ph.D. Jacob France institute University of Baltimore. Overview. Our Administrative Data Sources (not the MD LDS) Participation frequency by data sources

guang
Download Presentation

1984 Community College Cohort: Key Observations using Linked Administrative Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 1984 Community College Cohort: Key Observations using Linked Administrative Data • October 29, 2012 • Presenter: Ting Zhang, Ph.D. • Jacob France institute • University of Baltimore

  2. Overview Our Administrative Data Sources (not the MD LDS) Participation frequency by data sources Time trend of participation by data sources Earnings of 1984 CC & USM participants Safety net and workforce training participation for community college and USM students

  3. A Robust Integrated Database 4-Yr University Post Graduate + + • Pre-school Developmental + • K-12 + Community College Developmental + + + GED + + + + TANF SNAP + • WORKFORCE (Administrative Data Sources): TRADE DC, NJ, OH, PA, VA, WV UI Wage Records & QCEW (90% + Coverage) Registered Apprenticeships UI Benefits WIA Title I & II WIA-Funded Training • FEDES • OPM • DOD • USPS Job Service Trade Adjustment Assistance “+” indicates possibility of concurrent and/or sequential life-cycle participation in these activities. Source: The Jacob France Institute, University of Baltimore (June 2012).

  4. Data Used in this Presentation

  5. Percentage of Participants by Source 58%

  6. Number of Participants by Selected Source

  7. Participants for UI and SNAP

  8. Median Earnings (2012$) for USM Participants

  9. Participation Frequency from Two Sources Wage TRADE FEDES J-WIA UI SNAP TANF EIS DIS Comm 4.9% 1.1% 0.2% 4.9% Job services or Safety-net 5.1% 5.4% 1% 0.3% 1.3% 0.5% 1.8% 5.5% Wage TRADE FEDES J-WIA UI SNAP TANF EIS DIS Comm

  10. Participation Frequency from Two Sources for EIS Wage TRADE FEDES J-WIA SNAP TANF EIS DIS Comm 3.4% 1.1% 0.3% 3.5% Job services or Safety-net 2.2% 2.6% 0.5% 0.1% 0.4% 0.5% 2.6% Wage TRADE FEDES J-WIA SNAP TANF EIS DIS Comm

  11. Participation Frequency from Two Sources for DIS Wage TRADE FEDES J-WIA SNAP TANF EIS DIS Comm 2.9% 1% 0.3% 2.9% Job services or Safety-net 1.4% 1.6% 0.3% 0.1% 0.2% 0.1% 1.6% Wage TRADE FEDES J-WIA SNAP TANF EIS DIS Comm

  12. Messages of this Presentation SLDS value for many stakeholders can be enhanced by building capacity beyond the core data sources. Research value and policy implications following the release of basic dashboards. Toward a solid business case for SLDS sustainability. The value of “L” and “W” in P-20W SLDS in the business case for sustained state funding.

  13. Contacts & Additional Resources Contact information: Ting Zhang, tzhang@ubalt.edu For more information on: JFI Website: http://www.jacob-france-institute.org/

More Related