Trends in the Income of Working-Age People with Disabilities: 1980-2004
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Trends in the Income of Working-Age People with Disabilities: 1980-2004
Robert Weathers
Mathematica Policy Research
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Overview
• Disability and income measurement
• Data sources and income estimates
• Comparisons across datasets
• Tracking progress using long-term trends
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Disability Measurement• Disability Concepts
• Sensory; Physical; Mental; ADLs; IADLs; Work Limitations
• Multiple dimensions to disability measurement• Environment
• Duration
• Severity
• Differences across national data in disability measurement
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Income Measurement
• Sharing unit: person, family, household• Family income used to measure poverty and to determine eligibility for many
means-tested programs• Household income used in annual Census Bureau report.• Equivalence scales designed to account for sharing within the household and
facilitate economic-well being comparisons. In this presentation, we use method suggested by Patricia Ruggles (e=0.5).
• Survey measures of income• Detailed questions on income sources aggregated at individual level and then to
family level (e.g., ACS, CPS, SIPP)• Single question on family income amounts (e.g., NHIS)
• Differences across datasets in measurement of income
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Data Sources• American Community Survey (ACS)
– 8 individual level income questions aggregated.
• Current Population Survey (CPS)– 18 individual level income questions aggregated.
• National Health Interview Survey (NHIS)– Yes/No questions about sources (“cues”), 1 question
about amount of family income.
• Survey of Income and Program Participation (SIPP)
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American Community Survey• Sources of Income based on 8 separate questions.
• wage or salary income; • net self-employment income; • interest, dividends, or net rental or royalty income or income from
estates and trusts; • Social Security or railroad retirement income; • Supplemental Security Income (SSI); • public assistance or welfare payments; • retirement, survivor, or disability pensions; • and all other income (e.g., VA benefits, UI compensation, child
support, alimony).
• Measures• Individual Income, Family Income, Household Income.
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Household Income Measures, by Disability Type
63,200
34,80032,420
37,000
27,500 27,800 27,770 28,300
17,60017,05517,33317,17320,300
23,00021,362
37,559
0
10000
20000
30000
40000
50000
60000
70000
NoDisability
Disability Sensory Physical Mental ADL IADL WorkLimitation
Household Income
Household Size Adjusted Income
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Household Size Adjusted Income
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
Miss
issip
pi
West
Virgini
a
Kentu
cky
Arkan
sas
Alaba
ma
Tenne
ssee
Distric
t of C
olum
bia
Loui
siana
South
Car
olina
New M
exico
Rhode
Isla
nd
Color
ado
North
Dak
ota
Alask
a
Nevad
a
New H
amps
hire
Delaw
are
Conne
cticu
t
New J
erse
y
Hawai
i
Mar
yland
Household Size Adjusted Income
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Relative Household Size Adjusted Income (Disability / No Disability)
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
Distric
t of C
olum
bia
Kentu
cky
Wes
t Virg
inia
Mai
ne
Verm
ont
Tenne
ssee
Mas
sach
uset
ts
Miss
issip
pi
Alabam
a
Penns
ylvan
ia
United
Sta
tes
Arizon
a
Colora
do
Alaska
Delawar
e
Mon
tana
UtahId
aho
Nevad
a
Hawaii
North
Dak
ota
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Comparisons Across Datasets
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No Disability Disability
ACS , 2003 $60,000 $34,600 CPS, March 2004 $61,999 $27,955NHIS, 2002 $55,000 - $64,000 $25,000 - $34,999SIPP, 2002 $53,313 $33,895
Table 14. Median Household Income of Persons Ages 25 to 61
Notes:
(1)ACS, NHIS, SIPP based upon at least one of the following: employment disability, IADL, ADL, mental impairment, physical impairment, or sensory impairment.
(2)CPS based upon employment disability.
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Comparisons Across Data Sources
Employment IADL ADL Mental Physical SensoryACS , 2003 $28,000 $28,600 $28,000 $27,400 $32,100 $38,000 CPS, March 2004 $27,955 NA NA NA NA NANHIS, 2002 $25,000 -
$34,999$20,000 - $24,999
$20,000 - $24,999
$20,000 - $24,999
$25,000 - $34,999
$35,000 - $44,999
SIPP, 2002 $25,664 $24,989 $26,735 $26,218 $33,490 $33,776
Table 14. Median Household Income of Persons Ages 25 to 61, By Data Source
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Summary of Comparisons• Differences in income across types of disability and
differences in income within types of disability across datasets.
• Consistent findings:• Low incomes: Persons with mental impairments and
limitations performing ADLs, IADLs or employment have lowest levels of income.
• Not as low incomes: Persons with limitations that include: severe vision loss, severe hearing loss, and physical functioning.
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Long-Term Trends: CPS
• Analysis of long-term trends is critical to examining economic progress.
• CPS is the only dataset that contains a consistently measure of income from 1979-2005 for the subset of persons with disabilities who report a “work limitation”
• Use the data to compare trends in income for persons with and without disabilities.
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Household Size Adjusted Income, Trough Comparisons
-
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
Year
2004
Dol
lars
Without Work Limitation
With Work Limitation
1982 Difference= $13,665
1993 Difference=$16,656
2004 Difference=$17,871
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Share of HH Income for those with a Disability
24.619.2 15.8
36.137.3 41.0
6.89.4 12.2
12.6 15.414.0
19.2 18.2 16.8
0%
20%
40%
60%
80%
100%
1982 1993 2004
Other HH Income
Other Public HHTransfersAFDC/TANF
Disability Programs(SSI,DI)Earnings of Others
Own Earnings
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Earnings and Disability Income Trends 1980-2004
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
Year
2004
Dol
lars
Own Earnings
All other public transfers in household
Own public disability transfers
19821993
2004
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Summary
• Differences across surveys due to differences in definition of disability but also related to differences in income measurement.
• ACS strikes a good balance between definition of disability and income measurement, but is relatively new and has limited time series.
• CPS only survey that is able to examine long term trends in income, but limited to work limitation measure of disability.
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Future Research Questions
• As more years of ACS data become available, how do trends in income compare across different definitions of disability and to the CPS work limitation measure?
• Is income under-reported in surveys and has income under-reporting in surveys increased over time?– Meyer and Sullivan (2003): Yes, for low-income
households. Propose including data on consumption and income to improve measures of income.
– Implications for examining income trends for persons with disabilities not well known.
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Future Research (cont’d)• Can “one question” family income measures be
improved?– NHIS, BRFSS and other surveys that collect data on health
and disability use one question to measure family income.– Researchers have shown that these measures understate
income compared to aggregated measures in the CPS, ACS, MEPS, etc. (Davern et al., 2005)
– They propose using methods that combine data across national datasets to improve estimates of income based upon single question.
– Need to be aware of the benefits and limitations of these approaches.
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References
Devern, Michael et al. 2005. “The effect of income question design in health surveys on family income, poverty, and eligibility estimates.” Health Services Research, volume 40(5).
Meyer, Bruce D., James X. Sullivan. 2003. “Measuring the well-being of the poor using data on income and consumption.” Journal of Human Resources, volume 38 supplement.