Barbara M' Fraumeni

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Barbara M' Fraumeni

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Estimates dependent upon those older in the calendar year. Stages dictated by data availability ... Yearly (& lifetime) market labor income excludes labor income taxes ... – PowerPoint PPT presentation

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Title: Barbara M' Fraumeni


1
Muskie School of Public Service
Ph.D. Program in Public Policy
Introduction to the Lifetime Income Approach
Barbara M. Fraumeni Muskie School of Public
Service, USM, Portland, ME the National Bureau
of Economic Research, USA China Center for Human
Capital and Labor Market Research Central
University of Finance and Economics Bejing, China
June 11, 2009
2
Importance of MeasuringHuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
3
Plan
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Today
  • Introduction to accounting system
  • full J-F approach
  • Another day
  • Fraumeni simplified method

4
Assumptions
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Neoclassical theory of investment
  • Human and non-human capital should be treated the
    same
  • Nonmarket activities and market activities matter

5
Literature Guide
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Jorgenson Pachon (1983a, 1983b)

6
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Production account, GPDP and factor outlay
  • Gross private national labor property income
  • Gross private national receipts expenditures
  • Gross private national capital accumulation
  • Private national wealth

7
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
8
J-F (1989) The Accumulation of Human and
Nonhuman CapitalFull Product, value, 1982
Muskie School of Public Service
Ph.D. Program in Public Policy
Nonhuman Investment
Full Consumption
Human Investment
9
J-F (1989) The Accumulation of Human and
Nonhuman CapitalFull Factor Outlay, value, 1982
Muskie School of Public Service
Ph.D. Program in Public Policy
Full Property Outlay
Market Labor Outlay
Nonmarket Labor Outlay
10
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
11
J-F (1989) The Accumulation of Human and
Nonhuman CapitalFull Income, value, 1982
Muskie School of Public Service
Ph.D. Program in Public Policy
Full Property Income
Market Labor Income
Nonmarket Labor Income
12
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
13
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
14
J-F (1989) The Accumulation of Human and
Nonhuman CapitalFull Consumer Expenditures,
value, 1982
Muskie School of Public Service
Ph.D. Program in Public Policy
Nonhuman Saving
Market Consumer Outlays
Human Saving
Nonmarket Consumer Outlays
15
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
16
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
17
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
18
J-F (1989) The Accumulation of Human and
Nonhuman CapitalFull Gross Saving, value, 1982
Muskie School of Public Service
Ph.D. Program in Public Policy
Full Net Saving
Depreciation
19
J-F (1989) The Accumulation of Human and
Nonhuman CapitalChange in Wealth, value, 1982
Muskie School of Public Service
Ph.D. Program in Public Policy
20
J-F (1989) The Accumulation of Human and
Nonhuman Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
21
J-F (1989) The Accumulation of Human and
Nonhuman CapitalFull Wealth, value, 1982
Muskie School of Public Service
Ph.D. Program in Public Policy
Human Wealth
Nonhuman Wealth
22
J-F (1992) The Output of the Education Sector
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Constructed the full set of J-F human capital
    accounts
  • Main contribution Appendix with equations

23
J-F (1992) Investment in Education U.S.
Economic Growth
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Constructed the full set of J-F human capital
    accounts
  • Looked at the sources of economic growth
  • Developed an education sector, using the lifetime
    income approach
  • Combined the education sector with a noneducation
    sector to determine the sources of economic
    growth for the U.S. economy

24
J-F (1992) Investment in Education U.S.
Economic Growth
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Education sector intermediate inputs
  • Capital (K), e.g., schools
  • Labor (L), e.g., teachers and student time
  • Intermediate inputs (X), e.g., pencils paper
  • Student time as a residual in value terms
  • Output (Q) is investment in education

25
J-F (1992) Investment in Education U.S.
Economic Growth
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Noneducation sector only has capital and labor

26
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86Noneducation Sector
Muskie School of Public Service
Ph.D. Program in Public Policy
Labor
Capital
27
Contribution
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Approximate
  • Share weighted rate of growth
  • .5 share (t) share (t-1)
  • lnvolume(t) lnvolume(t-1)
  • where lnvolume(t) lnvolume(t-1)
  • is ROG

28
Quality Decomposition
Muskie School of Public Service
Ph.D. Program in Public Policy
  • hours labor quality labor input
  • stock capital quality capital input

29
Derived Quality
Muskie School of Public Service
Ph.D. Program in Public Policy
  • labor input
  • .5 share (t) share (t-1)
  • lnvolume(t) lnvolume(t-1)
  • ??????
  • stock capital quality capital input

30
Capital Service Flows (CSF)
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Form volume index weights
  • CSF net return depreciation revaluation
    property-type taxes
  • Net return r(t) stock (t-1)
  • Depreciation d(t) K(t-1)
  • Revaluation p(t) p(t-1) K(t-1)
  • Income taxes make the equation much more
    complicated

31
Productivity (Translog Index)
Muskie School of Public Service
Ph.D. Program in Public Policy
  • rate of productivity growth ( )
  • output growth (VA) input index
  • where input index
  • weighted rate of growth
  • sum of .5 share (t) share (t-1)
  • lnvolume(t) lnvolume(t-1)
  • over K, L, maybe X
  • Q or VA, with/without intermediate input

32
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86Noneducation Sector
Muskie School of Public Service
Ph.D. Program in Public Policy
33
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86Education Sector
Muskie School of Public Service
Ph.D. Program in Public Policy
Capital Input
Intermediate Input
Labor Input
34
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86Education Sector
Muskie School of Public Service
Ph.D. Program in Public Policy
35
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86U.S. Economy
Muskie School of Public Service
Ph.D. Program in Public Policy
Capital
Labor
36
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86U.S. Economy
Muskie School of Public Service
Ph.D. Program in Public Policy
37
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86ROG Comparison
Muskie School of Public Service
Ph.D. Program in Public Policy
38
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86Contribution Comparison
Muskie School of Public Service
Ph.D. Program in Public Policy
39
J-F (1992) Investment in Education U.S.
Economic Growth,1948-86Contribution Comparison
Muskie School of Public Service
Ph.D. Program in Public Policy
40
J-F (1992) The Output of the Education Sector
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Human capital accounting is simultaneously one
    of the easiest and most difficult exercises in
    empirical economics. It is easy in the sense that
    the statistical techniques necessary are
    relatively simple. On the other hand, getting the
    data right can be massive challenge.
  • Christian (2009)

41
J-F (1992) The Output of the Education Sector
Data Required for Lifetime Income
Muskie School of Public Service
Ph.D. Program in Public Policy
  • By sex, individual years of age, and education
    (either highest level attained by individual
    level or enrollment by individual level)
  • Population
  • Enrollment
  • Employment
  • Labor compensation
  • Hours or market works
  • Survival rates
  • All but survival rates are contemporary
    information

42
J-F (1992) The Output of the Education Sector
Present and Future Income
Muskie School of Public Service
Ph.D. Program in Public Policy
  • From contemporary information and data sets,
    assess the probabilities that persons will go to
    school, perform market work (for how many hours),
    and live
  • Relative wage rates come from contemporary
    relationships
  • Future wage rates are assumed to increase at a
    specified rate

43
J-F (1992) The Output of the Education Sector
Methodology
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Backwards recursive
  • Estimates dependent upon those older in the
    calendar year
  • Stages dictated by data availability

44
J-F (1992) The Output of the Education Sector
Five Stages
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Stage 1 No school or work, ages 0-4
  • Stage 2 School, but no work, ages 5-15
  • Stage 3 School and work, ages 16-34
  • Stage 4 Work only, ages 35-74
  • Stage 5 Retirement, zero income, ages 75 or
    older

45
J-F (1992) The Output of the Education Sector
Equation Notation
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Mi lifetime market income
  • Nmi lifetime nonmarket income
  • Ymi yearly (current) market income
  • Ynmi yearly (current) nonmarket income
  • G real rate of growth in labor income
  • R discount rate
  • Sr survival rate to one year older
  • s sex
  • a age, by single year of age, e.g., age 0, 1, 2,
    ...74, 75
  • e highest level of education attained, by
    individual level of education from grade 1, 2,
    ..., through at least one year of graduate school
  • older age 1, e.g., being one year older

46
J-F (1992) The Output of the Education Sector
Equations for Ages 35-74
Muskie School of Public Service
Ph.D. Program in Public Policy
  • mi(s,a,E) ymi(s,a,e) sr(s,older)
    mi(s,older,e) (1g)/(1r)
  • nmi(s,a,e) ynmi(s,a,e) sr(s,older)
    nmi(s,older,e) (1g)/(1r)

47
J-F (1992) The Output of the Education Sector
Taxes in the Equations
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Yearly ( lifetime) market labor income excludes
    labor income taxes
  • The wage rate used to compute yearly ( lifetime)
    nonmarket labor income excludes labor income
    taxes at the average marginal tax rate
  • Accordingly, the wage rate from the nonmarket
    computations is gross taxes paid on market labor
    income (1tax), then net the average marginal
    rate (1-taxam)

48
J-F (1992) The Output of the Education Sector
What Is Yearly Nonmarket Income?
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Assumed 10 hours per day is spent sleeping and in
    maintenance
  • Assumed students spend 1600 hours per year in
    formal education activities
  • 14 hours per day available to go to school,
    perform market work and engage in nonmarket
    activities, including nonmarket work and leisure
  • Opportunity cost methodology is used to value
    nonmarket activities

49
J-F (1992) The Output of the Education Sector
Equations for Ages 0-4
Muskie School of Public Service
Ph.D. Program in Public Policy
  • mi(s,a,E) sr(s,older) mi(s,older,e)
    (1g)/(1r)
  • nmi(s,a,e) sr(s,older) nmi(s,older,e)
    (1g)/(1r)

50
J-F (1992) The Output of the Education Sector
More Equation Notation
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Senr school enrollment rate
  • enr grade level enrolled, by individual level of
    education, grade 1, 2, through at least one year
    of graduate school
  • e1 the next higher level of education
    completed, from grade 1, 2, ..., through at most
    one year of graduate school

51
J-F (1992) The Output of the Education Sector
Market Equations for Ages 5-34
Muskie School of Public Service
Ph.D. Program in Public Policy
  • mi(s,a,e) ymi(s,a,e) sr (s,older)
  • senr(s,a,enr) mi(s,older,e1)
  • (1 - senr(s,a,enr)) mi(s,older,e)
  • (1g)/(1r)
  • nmi(s,a,e) ynmi(s,a,e) sr (s,older)
  • senr(s,a,enr) nmi(s,older,e1)
  • (1 - senr(s,a,enr)) nmi(s,older,e)
  • (1g)/(1r)

52
J-F (1992) The Output of the Education Sector
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Lifetime income is the sum of market and
    nonmarket lifetime income
  • Life(s,a,e) mi(s,a,e) nmi(s,a,e)

53
Jorgenson-FraumeniInvestment in Human Capital
Muskie School of Public Service
Ph.D. Program in Public Policy
  • From births, is the expected future lifetime
    income of that individual
  • From schooling, investment is produced when
    individuals are enrolled in school
  • Is the impact of completing another year of
    school on expected future lifetime income
  • Si(s,a,e) senr(s,a,e) life(s,a,e1
    life(s,a,e)

54
J-F (1992) The Output of the Education Sector
Valuation Summary
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Market hours At after average labor income tax
    rate
  • Nonmarket hours excluding school hours At after
    average marginal labor income tax rate
  • School hours Total amount is investment in
    education

55
J-F (1992) The Output of the Education Sector
Data Issues
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Is population and other variables as of July 1,
    January 1, or what?
  • If July 1, which is normally school vacation
    time, is enrollment for the Fall or the past
    Spring?

56
J-F (1992) The Output of the Education Sector
Data Issues
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Rose-colored glasses effect, e.g., does the
    educational attainment data line-up with the
    enrollment data?
  • Drop-outs?
  • Students talking more than 5 years to complete a
    4 year college degree?
  • Graduate degree completion and degree-type labor
    information?

57
J-F (1992) The Output of the Education Sector
Choice of Rates
Muskie School of Public Service
Ph.D. Program in Public Policy
  • G Real rate of growth in labor income
  • R Discount rate

58
J-F (1992) The Output of the Education Sector
Data Estimation Issues
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Labor data with different marginal information,
    e.g., wages by sex and age (1 margin) and by sex
    and education (another margin), but none by sex,
    age, and education
  • RAS or maximum likelihood techniques
  • Data from different years with zeroes in
    different places
  • Standard demographic techniques to convert
    categorical to single
  • Waves problem
  • Value-added information

59
Jorgenson-FraumeniVolumes
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Translog indexes, where the weights are lifetime
    income or investment shares
  • Volumes in the index are population or numbers of
    persons enrolled in school
  • For example
  • Lifetime income volume (year,s,a,e)
  • .5 share(year,s,a,e) share(year-1,s,a,e)
  • lnpopulation(year,s,a,e)
    lnpopulation(year-1,s,a,e)

60
J-F (1992) The Output of the Education Sector
Volumes
Muskie School of Public Service
Ph.D. Program in Public Policy
  • For total human capital and by male vs. female
    will be relatively flat in the aggregate as the
    growth rates are population growth rates
  • Sub-indices by sex and highest level of education
    attained will show growth over time if
    enrollments in higher levels have been increasing
  • In that case, investment in education indices
    would show growth also

61
J-F (1992) The Output of the Education Sector
Appreciation/Depreciation
Muskie School of Public Service
Ph.D. Program in Public Policy
  • At first lifetime income increases Appreciation,
    with education
  • Then lifetime income decreases Depreciation, as
    aging dominates the education affect

62
J-F (1992) The Output of the Education Sector
Revaluation
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Hold category constant e.g., sex, age,
    education
  • Then determine lifetime income in year t versus
    year t-1 for that category
  • Depreciation allows an individual to become
    older, but holds the year t constant

63
J-F (1992) The Output of the Education Sector
Nonmarket Component
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Recommend starting with a market only set of
    accounts
  • Preserving separate estimates for comparability
    even after a nonmarket component is added

64
J-F (1992) The Output of the Education Sector
Result Changes Expected
Muskie School of Public Service
Ph.D. Program in Public Policy
  • ??? Geneva paper and results from this paper

65
J-F (1992) The Output of the Education Sector
Per Person capita (Student) Estimates
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Estimating per person (student) is advisable as
    it facilitates checking
  • Wage rates should be higher for those with more
    education
  • Lifetime incomes should initially rise, then fall
    at some point between 18 and at most 30
  • Typically (U.S.) men still spend more time in
    market work than females

66
Canadian Decomposition Approach is
AttractiveCharts, tables, etc.
Muskie School of Public Service
Ph.D. Program in Public Policy
67
Document, document, document!In computer
files as well as in separate documentation
filesDocument assumptionsDocument strange
dataCookbook for someone new to the project
Muskie School of Public Service
Ph.D. Program in Public Policy
68
Look at your dataDoes it make sense?(But it
will never be perfect.)Check control totals
Muskie School of Public Service
Ph.D. Program in Public Policy
69
Mistakes will be made!Admit them!
Muskie School of Public Service
Ph.D. Program in Public Policy
70
Take time to learn and teachYou are creating
human capital
Muskie School of Public Service
Ph.D. Program in Public Policy
71
Muskie School of Public Service
Ph.D. Program in Public Policy
  • Economic success crucially depends upon human
    capital the knowledge, skills, competencies and
    attributes that allow people to contribute to
    their personal and social well-being, as well as
    that of their countries. (Keeley, 2007)
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