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Barbara M. Fraumeni

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A Human Capital Approach to Measuring Government Education Output Barbara M. Fraumeni Muskie School of Public Service, University of Southern Maine – PowerPoint PPT presentation

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Title: Barbara M. Fraumeni


1
A Human Capital Approach to Measuring Government
Education Output
Barbara M. Fraumeni Muskie School of Public
Service, University of Southern Maine the
National Bureau of Economic Research,
USA Measurement of Non-market Output and
Health OECD/ONS/Government of Norway Workshop,
Session 5 London, England, UK October 4, 2006
2
Muskie School of Public Service
Ph.D. Program in Public Policy
  • BOTTOM LINE
  • A human capital approach could significantly
    increase the measured ROG of government education
    output
  • It looks beyond a body count to the impact of
    education on lifetime income

3
Muskie School of Public Service
Ph.D. Program in Public Policy
  • J-F-C Project Goal
  • As a first step, draws upon Jorgenson-Fraumeni
    (1992a, 1992b) methodology
  • The current Jorgenson-Fraumeni-Christian (JFC)
    project aims to
  • Develop estimates from 1960-2004
  • Experiment with a smaller set of data
  • Modify and refine the J-F methodology for various
    purposes

4
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Context
  • The Atkinson Report Consideration of
  • an adjustment to reflect the value of education
    for future earnings
  • Simplistic view Looking at the real rate of
    growth in wages
  • J-F-C view Directly measure the impact of
    education on lifetime earnings

5
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Output Targets
  • All formal education (J-F)
  • Government-provided (public) formal education
    only
  • Output from school inputs

6
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Variations of J-F
  • Literature on relative earnings of publicly vs.
    privately educated individuals?
  • Output from school inputs only requires adjusting
    for
  • Childrens time
  • Parents time helping
  • Compositional effects such as non-native speakers

7
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Additional Refinements
  • Graduate school issues
  • Dealing with investment in education for
    elementary school enrollees with a more
    aggregated data set
  • Rose-colored glasses?
  • Time spent in school
  • Years to complete a level (college)
  • Hours spent in school (or doing homework)

8
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Methodology
  • Construction of expected future lifetime income
    (market plus nonmarket) for all individuals in
    the US
  • Determined from the cohort alive in a particular
    year
  • Investment in education (education output) is
    the difference between expected lifetime income
    of an individual enrolled in school and someone
    of same sex and age who has one year less of
    education

9
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Stages of Life
  • Lifetime incomes are calculated by a backwards
    recursion, starting with age 75
  • Stage 5 Age 75, retirement
  • Stage 4 Age 35-74, work only
  • Stage 3 Age 16-34, work and school
  • Stage 2 Age 5-15, school only
  • Stage 1 Age 0-4, no work or school

10
Muskie School of Public Service
Ph.D. Program in Public Policy
  • So What?

Growth Rates Enrollments Investment in Education (constant)
1960-1986 (J-F) .6 2.7
1986-2004 (J-F-C) 1.2 ?
11
Muskie School of Public Service
Ph.D. Program in Public Policy
1960-1986 vs. 1986-2004 College The Critical
Factor
Growth Rates Enrollment Growth Rates Wage Gap College to Other Levels
1960-1986 J-F 4.6 (.6) Decreases often, but also increases
1986-2004 J-F-C 1.8 (1.2) Increases substantially
12
Muskie School of Public Service
Ph.D. Program in Public Policy
  • 1960-1986 vs. 1986-2004
  • College The Critical Factor
  • 1960-1986 Enrollments are the driver
  • 1986-2004 The wage gap as reflected in lifetime
    income will be the driver
  • Actual Estimates J-F-C Project
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