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The application process is critical to the targeting of disability programs because disability, relative to other tags, is difficult to observe and costly to verify. We study the effect of application costs on the targeting of disability programs using the closings of Social Security Administration field offices, which provide assistance with filing disability applications. Using administrative data from the Social Security Administration, we find that field office closings lead to large and persistent reductions in the number of disability recipients and reduce targeting efficiency based on current eligibility standards. The number of disability recipients declines by 13% in surrounding areas, with the largest effects for applicants with moderately severe conditions, low education levels, and low pre-application earnings. Evidence on channels suggests that most of the reduction in applications is attributable to increased congestion at neighboring offices rather than increased travel times or costs of information gathering.
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We provide the first evidence on the relationship between disability programs and markers of financial distress: bankruptcy, foreclosure, eviction, and home sale. Rates of these adverse financial events peak around the time of disability application and subsequently fall for both allowed and denied applicants. To estimate the causal effect of disability programs on these outcomes, we use variation induced by an age-based eligibility rule and find that disability allowance substantially reduces the likelihood of adverse financial events. Within three years of the decision, the likelihood of bankruptcy falls by 0.81 percentage point (30 percent), and the likelihood of foreclosure and home sale among homeowners falls by 1.7 percentage points (30 percent) and 2.5 percentage points (20 percent), respectively. We find suggestive evidence of reductions in eviction rates. Conversely, the likelihood of home purchases increases by 0.86 percentage point (20 percent) within three years. We present evidence that these changes reflect true reductions in financial distress. In our model of optimal disability benefits, considering these extreme events increases optimal disability benefits and potentially shortens waiting times.
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The public debate over disability insurance has centered on concerns about individuals without severe health conditions receiving benefits. We go beyond health risk alone to quantify the overall insurance value of U.S. disability programs, including value from insuring non-health risk. We find that disability recipients, especially those with less-severe health conditions, are much more likely to have experienced a wide variety of non-health shocks than non-recipients. Selection into disability receipt on the basis of non-health shocks is so strong among individuals with less-severe health conditions that by many measures less-severe recipients are worse off than more-severe recipients. As a result, under baseline assumptions, benefits to less-severe recipients have an annual surplus value (insurance benefit less efficiency cost) over cost-equivalent tax cuts of $7,700 per recipient, about three-fourths that of benefits to more-severe recipients ($9,900). Insurance against non-health risk accounts for about one-half of the value of U.S. disability programs.
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The application process is critical to the targeting of disability programs because disability, relative to other tags, is difficult to observe and costly to verify. We study the effect of application costs on the targeting of disability programs using the closings of Social Security Administration field offices, which provide assistance with filing disability applications. Using administrative data from the Social Security Administration, we find that field office closings lead to large and persistent reductions in the number of disability recipients and reduce targeting efficiency based on current eligibility standards. The number of disability recipients declines by 13% in surrounding areas, with the largest effects for applicants with moderately severe conditions, low education levels, and low pre-application earnings. Evidence on channels suggests that most of the reduction in applications is attributable to increased congestion at neighboring offices rather than increased travel times or costs of information gathering.
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