John Bound J Stephan Lindner Timothy Waidmann 5 Percentage of - - PowerPoint PPT Presentation

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John Bound J Stephan Lindner Timothy Waidmann 5 Percentage of - - PowerPoint PPT Presentation

John Bound J Stephan Lindner Timothy Waidmann 5 Percentage of Percentage Percentage Percentage of of Men of Men Men 25-61 Men 25 25-61 61 receiving 61 receiving receiving SSDI receiving SSDI SSDI benefits SSDI benefits benefits


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SLIDE 1

John Bound J Stephan Lindner Timothy Waidmann

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SLIDE 2

5

Percentage Percentage of

  • f Men

Men 25-61 61 receiving receiving SSDI SSDI benefits enefits

4

Percentage Percentage of

  • f Men

Men 25 25-61 61 receiving receiving SSDI SSDI benefits benefits

2 3 1 1970 1975 1980 1985 1990 1995 2000 2005 Year Year

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SLIDE 3

 Rapid growth led to SSA and Congressional

retrenchment in late 1970s

 Easing of these policies in 1984 led to

renewed growth and renewed concerns about renewed growth and renewed concerns about the enrollment of able-bodied workers

 Heightened by increasing employment deficit  Heightened by increasing employment deficit

among persons with work limitations

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SLIDE 4

 Two sets of research – Two sets of answers  Aggregate studies

  • Bound & Waidmann 2002; Autor & Duggan 2003

Program growth strongly correlated with

  • Program growth strongly correlated with

employment declines – full drop explained

 Studies of denied applicants

pp

  • Bound 1989; Chen & van der Klaauw 2008;

vonWachter et al. 2009

  • Rejected applicants don’t work in great numbers
  • Rejected applicants don t work in great numbers –

so why would successful applicants? – less than half explained

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SLIDE 5

 Asking different questions

  • Local Average Treatment Effect vs. Average

Treatment Effect on the Treated

 Making different assumptions that might be  Making different assumptions that might be

questioned

  • Aggregate: Assume DI growth is exogenous
  • Denied Applicants: Application has no behavioral

consequences

 Can we reconcile these findings?  Can we reconcile these findings?

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SLIDE 6

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SLIDE 7

W W W En Wn Wd Wb Ed E Eb

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SLIDE 8

W W W En Wn Wd Wb Ed E Eb

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SLIDE 9

W W W En Wn Wd Wb Ed E Eb

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SLIDE 10

W W W En Wn Wd Wb Ed E Eb

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SLIDE 11

 Aggregate studies assume the former  Studies of denied beneficiaries find that they

don’t work as much as non-applicants

S h l ibl ti i th t

  • So perhaps a more plausible assumption is that

beneficiaries wouldn’t either

 Our strategy is use the alternative

gy decompositions on the same data, with well- identified groups to calculate employment ff d b h i effect under both assumptions

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SLIDE 12

 Survey of Income and Program Participation,

1990 2004 1990-2004

  • Linked SSA administrative records on beneficiaries

(MBR) and on DI applicants (“831”) allow us to d f b h d d l d l identify both denied applicants and non-applicants

 Examine periods of DI growth

  • 1990-1996

1990 1996

  • 1996-2004

 Examine only men, since the increasing labor

market participation of women dominates market participation of women dominates and complicates the measurement disemployment effects

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SLIDE 13

Employment Change among Men with Self‐reported Work Limitations Total Employment Effect of DI Expansion Total Change in Employment p y p if marginal beneficiaries work like: 1990‐1996 Non‐applicants Denied applicants Men, 25‐44 ‐4.79 ‐4.81 ‐2.47 Men, 45‐54 ‐7.26 ‐6.61 ‐3.39 Men, 55‐61 0.84 ‐6.65 ‐1.49 1996‐2004 Men, 25‐44 ‐11.46 ‐2.10 ‐0.46 Men, 45‐54 ‐4.29 ‐1.49 ‐0.44 Men, 55‐61 ‐2.27 ‐0.96 ‐0.31

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SLIDE 14

Employment Change among Men with Self‐reported Work Limitations Total Employment Effect of DI Expansion Total Change in Employment p y p if marginal beneficiaries work like: 1990‐1996 Non‐applicants Denied applicants Men, 25‐44 ‐4.79 ‐4.81 ‐2.47 Men, 45‐54 ‐7.26 ‐6.61 ‐3.39 Men, 55‐61 0.84 ‐6.65 ‐1.49 1996‐2004 Men, 25‐44 ‐11.46 ‐2.10 ‐0.46 Men, 45‐54 ‐4.29 ‐1.49 ‐0.44 Men, 55‐61 ‐2.27 ‐0.96 ‐0.31

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SLIDE 15

Employment Change among Men with Self‐reported Work Limitations Total Employment Effect of DI Expansion Total Change in Employment p y p if marginal beneficiaries work like: 1990‐1996 Non‐applicants Denied applicants Men, 25‐44 ‐4.79 ‐4.81 ‐2.47 Men, 45‐54 ‐7.26 ‐6.61 ‐3.39 Men, 55‐61 0.84 ‐6.65 ‐1.49 1996‐2004 Men, 25‐44 ‐11.46 ‐2.10 ‐0.46 Men, 45‐54 ‐4.29 ‐1.49 ‐0.44 Men, 55‐61 ‐2.27 ‐0.96 ‐0.31

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SLIDE 16

Employment Change among Men with Self‐reported Work Limitations Total Employment Effect of DI Expansion Total Change in Employment p y p if marginal beneficiaries work like: 1990‐1996 Non‐applicants Denied applicants Men, 25‐44 ‐4.79 ‐4.81 ‐2.47 Men, 45‐54 ‐7.26 ‐6.61 ‐3.39 Men, 55‐61 0.84 ‐6.65 ‐1.49 1996‐2004 Men, 25‐44 ‐11.46 ‐2.10 ‐0.46 Men, 45‐54 ‐4.29 ‐1.49 ‐0.44 Men, 55‐61 ‐2.27 ‐0.96 ‐0.31

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SLIDE 17

Employment rate of Employment rate of men with work men with work

50 60

limitations, limitations, but not receiving but not receiving DI or SSI DI or SSI

40 age age 20 30 Percen Percent 10 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 Year Year Men 25-44 Men 45-54 Men 55-61

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SLIDE 18

 Aggregate studies probably overstate the

magnitude of the employment effect

 Factors other than just the expanded

availability of DI benefits must have availability of DI benefits must have contributed importantly to the decline in employment among men with limitations employment among men with limitations

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SLIDE 19

 Fears that the growth of DI during the last 25

years have been largely responsible the employment declines of men with work limitations seem exaggerated limitations seem exaggerated.

 Declining earnings of men without a high

school education and men with work school education and men with work limitations suggests a declining demand for such workers.

  • In such an environment, policies aimed at

encouraging work among people with disabilities are less likely to be effective. y