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Working in Minnesota Report

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8,166 jobs with industry codes. 7,156 jobs with wage and hour information ... Uses NAICS. Additional analyses (vacancies, payback) ... – PowerPoint PPT presentation

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Title: Working in Minnesota Report


1
Working in Minnesota Report
  • By Marcie Jefferys and Elizabeth Davis,
  • University of Minnesota
  • A report from the Minnesota Child Care Policy
    Research Partnership
  • Funding provided by the Minnesota Department of
    Human Services and the Child Care Bureau, U.S.
    Department of Health and Human Services

2
Where do Child Care Assistance Recipients Work?
  • In which industries are they concentrated, and
    what are the implications of their employment
    patterns for the recipients, employers and
    government?

3
Prior Where They Work Studies
  • Other states (FL, OR, AL, CA) and earlier Ramsey
    Co. study
  • Concentrated in retail trade (esp. grocery stores
    fast food restaurants) and services (esp. temp
    help health care)

4
Data
  • CCAP recipients SSN matched with wage and hour UI
    data and ES-202 industry classification)
  • 8,166 jobs with industry codes
  • 7,156 jobs with wage and hour information

5
Major CCAP Employing Industries All Four Counties
6
CCAP Compared to the Total Workforce
7
Results Similar to Other States (SICS)
8
CCAP job patterns are related to local economic
needs
9
CCAP parents are working in industries with most
job vacancies
10
Other Earnings Hours Findings
  • CCAP jobs are less than full-time (esp.
    administrative and support, retail trade, and
    accommodation and food services)
  • CCAP jobs pay less than FPL (esp. administrative
    and support, retail trade, and accommodation and
    food services)
  • Similar across counties

11
Average Total Workforce CCAP Weekly Earnings
High Wage
12
Average Total Workforce CCAP Weekly Earnings
Low Wage
13
Employment Patterns Vary by Type of Child Care
Assistance
  • MFIP recipients are most concentrated in three
    low-wage industries admin. support, retail
    trade and accommodation and food services

14
Child care provider payments
  • Substantial differences across industries in the
    extent to which a dollar invested in child care
    results in earnings.
  • Child care payments approximately the same across
    industries
  • Earnings vary greatly across industries
  • Define payback ratio parent earnings divided
    by CCAP provider payments

15
Hennepin County
16
I. Conclusions
  • 150 M (est.) spent in MN. In 2001 for recipients
    working in four industries
  • For some employers, the government is paying
    nearly as much for their employees child care as
    the employers are paying them in wages
  • Industries with chronic labor shortages due to
    low wages have the most CCAP-supported employees
  • 7,500 (est.) additional workers in state because
    of CCAP
  • Unlikely that the size of the CCAP supported
    workforce is enough to exert downward pressure on
    wages

17
II. Conclusions
  • CCAP recipients are not generally working in jobs
    that will make them less dependent on public
    subsidies over time
  • Government investment results in higher payback
    (recipient earnings) in some industries, but this
    data are not tracked by the program
  • CCAP is somewhat responsive to local economic
    conditions and may be helping to address a major
    challenge facing the state labor shortages, and
    is less costly than some other economic
    development tools
  • CCAP represents a significant public investment,
    but need still is not met

18
III. Conclusion
  • In both the short and long term, CCAP recipients
    (especially MFIP) will find it more difficult to
    become financially self-sufficient through work
    experience alone.
  • Industry personnel practices and internal
    barriers to upper mobility, as well as low-wages,
    challenge their ability to move upward,
    regardless of individual characteristics which
    may effect their employment options.

19
Limitations and Contributions
  • Cross-sectional, not longitudinal, data
  • Data characteristics (e.g., wage and hour data)
  • Lack of data on recipient characteristics
  • Human capital
  • Race, sex, age
  • Confirms earlier studies
  • Uses NAICS
  • Additional analyses (vacancies, payback)
  • Relates results to labor market studies in other
    fields

20
Suggestions for Future Research
  • Examine the cumulative effect of work support
    programs
  • Look at trends in child care assistance over
    time, in economic context
  • Longitudinal research to determine what factors
    lead to upward movement for recipients
  • More research on employers needs and
    perspectives regarding the program
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