Abstracts of Selected Recent NBER Working Papers
We provide a detailed analysis of the incidence, duration and determinants of claims made on private Long Term Disability (LTD) policies using a database of approximately 10,000 policies and 1 million workers from a major LTD insurer. We document that LTD claims rates are much lower than claims rates on the public analogue to LTD, the Social Security Disability Insurance program, yet LTD policies have a much higher return-to-work rate among initial claimants. Nevertheless, our analysis indicates that the impact of moral hazard on LTD claims is substantial. Using within firm, over time variation in plan parameters, we find that a higher replacement rate and a shorter waiting time to benefits receipt - also known as the Elimination Period or EP - significantly increase the likelihood that workers claim LTD. About sixty percent of the effect of a longer EP is due to censoring of shorter claims, while the remainder is due to deterrence: workers facing a longer EP are less likely to claim benefits for impairments that would lead to a only a brief period of LTD receipt. This deterrence effect is equally large among high and low-income workers, suggesting that moral hazard rather than liquidity underlies the behavioral response. Consistent with this interpretation, the response of LTD claims to plan parameters is driven primarily by the behavior of the healthiest disabled, those who would return to work after receiving LTD.
We study the health insurance and labor market implications of the recent Affordable Care Act (ACA) provision that allows dependents to remain on parental policies until age 26 using data from the Survey of Income and Program Participation (SIPP). Our comparison of outcomes for young adults aged 1925 with those who are older and younger, before and after the law, shows a high take-up of parental coverage, resulting in substantial reductions in uninsurance and other forms of coverage. We also find evidence of increased labor market flexibility in the form of reduced work hours.
Social Security benefits may be commenced at any time between ages 62 and 70. As individuals who claim later can, on average, expect to receive benefits for a shorter period, an actuarial adjustment is made to the monthly benefit to reflect the age at which benefits are claimed. In earlier work (Shoven and Slavov, 2012), we investigated the actuarial fairness of this adjustment for individuals with average life expectancy for their cohort. We found that for current real interest rates, delaying is actuarially advantageous for a large subset of people, particularly for primary earners in married couples. In this paper, we quantify the degree of actuarial advantage or disadvantage for individuals whose mortality differs from the average. We find that at real interest rates close to zero, most households - even those with mortality rates that are twice the average - benefit from some delay, at least for the primary earner. At real interest rates closer to their historical average, however, singles with mortality that is substantially greater than average do not benefit from delay; however, primary earners with high mortality can still improve the present value of the household's benefits through delay. We also investigate the extent to which the actuarial advantage of delay has grown since the early 1960s, when the choice of when to claim first became available, and we decompose this growth into three effects: (1) the effect of changes in Social Security's rules, (2) the effect of changes in the real interest rate, and (3) the effect of changes in life expectancy.
We examine the impact of pharmaceutical innovation, as measured by the vintage of prescription drugs used, on longevity, using longitudinal, country-level data on 30 developing and high-income countries during the period 2000-2009. We control for fixed country and year effects, real per capita income, the unemployment rate, mean years of schooling, the urbanization rate, real per capita health expenditure (public and private), the DPT immunization rate, HIV prevalence and tuberculosis incidence.
Across a wide set of non-group insurance markets, applicants are rejected based on observable, often high-risk, characteristics. This paper argues private information, held by the potential applicant pool, explains rejections. I formulate this argument by developing and testing a model in which agents may have private information about their risk. I first derive a new no-trade result that theoretically explains how private information could cause rejections. I then develop a new empirical methodology to test whether this no-trade condition can explain rejections. The methodology uses subjective probability elicitations as noisy measures of agents beliefs. I apply this approach to three non-group markets: long-term care, disability, and life insurance. Consistent with the predictions of the theory, in all three settings I find significant amounts of private information held by those who would be rejected; I find generally more private information for those who would be rejected relative to those who can purchase insurance; and I show it is enough private information to explain a complete absence of trade for those who would be rejected. The results suggest private information prevents the existence of large segments of these three major insurance markets.
Childhood exposure to even low levels of lead can adversely affect neurodevelopment, behavior, and cognitive performance. This paper investigates the link between lead exposure and student achievement in Massachusetts. Panel data analysis is conducted at the school-cohort level for children born between 1991 and 2000 and attending 3rd and 4th grades between 2000 and 2009 at more than 1,000 public elementary schools in the state. Massachusetts is well-suited for this analysis both because it has been a leader in the reduction of childhood lead levels and also because it has mandated standardized achievement tests in public elementary schools for almost two decades. The paper finds that elevated levels of blood lead in early childhood adversely impact standardized test performance, even when controlling for community and school characteristics. The results imply that public health policy that reduced childhood lead levels in the 1990s was responsible for modest but statistically significant improvements in test performance in the 2000s, lowering the share of children scoring unsatisfactory on standardized tests by 1 to 2 percentage points. Public health policy targeting lead thus has clear potential to improve academic performance, with particular promise for children in low income communities.
Millions of federal, state and local government employees have lifetime earnings that are divided between employment that is covered by the Social Security system and employment that is not covered. Because Social Security benefits are a non-linear function of covered lifetime earnings, the simple application of the standard benefit formula to covered earnings only would provide a higher replacement rate on those earnings than is appropriate given the individuals' total (covered plus uncovered) lifetime earnings. The Windfall Elimination Provision (WEP), established in 1983, is intended to correct this situation by applying a modified benefit formula to earnings of individuals with non-covered employment. This paper analyzes the distributional implications of the WEP, and finds that it reduces benefits disproportionately for households with lower lifetime covered earnings. It discusses an alternative method of calculating the WEP that preserves the intended redistribution of the system. In recognition of the data limitations that prevent this alternative method from being used by SSA for at least another decade, the paper also analyzes two alternative ways of calculating the WEP that use the same information that SSA currently uses, are budget neutral, and come closer to maintaining the cross-sectional progressivity of Social Security than does the existing WEP formula.
I use the Medicare Part D prescription drug insurance market to examine the dynamics of firm interaction with consumers on an insurance exchange. Enrollment data show that consumers face switching frictions leading to inertia in plan choice, and a regression discontinuity design indicates initial defaults have persistent effects. In the absence of commitment to future prices, theory predicts firms respond to inertia by raising prices on existing enrollees, while introducing cheaper alternative plans. The complete set of enrollment and price data from 2006 through 2010 confirms this prediction: older plans have approximately 10% higher premiums than comparable new plans.
The problem of the uninsured - those eschewing the purchase of health insurance policies - cannot be fully understood without considering informal alternatives to market insurance called "self-insurance" and "self-protection", including the publicly and charitably-financed safety-net health care system. This paper tackles the problem of the uninsured by formulating a "full-insurance" paradigm that includes all 4 measures of insurance as interacting components, and analyzing their interdependencies. We apply both a baseline and extended versions of the model through calibrated simulations to estimate the degree to which these non-market alternatives can account for the fraction of the non-elderly adults who are uninsured, and estimate their behavioral and policy ramifications. Our results indicate that policy analyses that do not consider the role of self-efforts to avoid health losses can grossly distort the success of the ACA mandate to insure the uninsured and to improve the health and welfare outcomes of the previously uninsured.
Each year parents transfer a great deal of money to their adult children. While intuition might suggest that these transfers are altruistic and made out of concern for the well-being of the children, empirical tests of the model have consistently yielded negative results. However, an important limitation in these sorts of studies and of our understanding of transfers in general has stemmed our inability to observe transfers over time. Estimates of patterns in a single cross section necessarily miss important aspects of behavior. In this paper I expand on the static altruistic model and posit a dynamic model in which parents use current observations on the incomes of their children to update their expectations regarding future incomes and desired future transfers. I then draw on data spanning a 17 year period to examine the dynamic aspects of transfer behavior. I find substantial change across periods in recipiency, large differences across children within the family, and a strong negative correlation between inter vivos transfers and the transitory incomes of the recipients. This evidence suggests that dynamic models can provide insights into transfer behavior that are impossible to obtain in a static context.