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This article estimates the causal effect of benefit levels on elderly enrollment in two public assistance programs by using the variation in eligibility and benefit levels introduced by old-age pension benefits. The findings are threefold. First, the low take-up among the elderly is not driven by changes in the composition of the eligible pool. Second, old-age pensions decrease the use of public assistance programs by decreasing the gain of participation – the potential benefits. Third, we find program-specific responses: a $100 increase in potential Supplemental Security Income (SSI) benefits leads to a 4–6 percentage point increase in the take-up probability, but we are unable to estimate consistent results for the Supplemental Nutrition Assistance Program (SNAP). Together with the fact that eligible individuals who begin receiving old-age pensions continue to participate in SSI more often than they maintain SNAP enrollment, the different program response could be due to preference for cash over in-kind transfers.

Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the relationship between the probability of treatment and the observed mismeasured assignment variable may disappear. Therefore, the presence of measurement error in the assignment variable poses a challenge to treatment effect identification. This chapter provides sufficient conditions to identify the RD treatment effect using the mismeasured assignment variable, the treatment status and the outcome variable. We prove identification separately for discrete and continuous assignment variables and study the properties of various estimation procedures. We illustrate the proposed methods in an empirical application, where we estimate Medicaid takeup and its crowdout effect on private health insurance coverage.

In the spirit of Polachek (1975) and the later work of Becker (1985) on the role of specialization within the family, we examine the relationship between fringe benefits and the division of labor within a married household. The provision of fringe benefits is complicated by their non-additive nature within the household, as well as IRS regulations that stipulate that they be offered in a non-discriminatory manner in order to maintain their tax-exempt status. We model family decisions within a framework in which one spouse specializes in childcare and as a result experiences a reduction in market productive capacity. Our model predicts that the forces toward specialization become stronger as the number of children increase, so that the spouse specializing in childcare will have some combination of lower wages, hours worked, and fringe benefits. We demonstrate that to the extent that labor markets are incomplete, the family is less likely to obtain health insurance from the employer of the spouse that specializes in childcare. Using data from the April 1993 CPS we find evidence consistent with our model.

After the first transgender athletes participated in the 2020 Tokyo Olympics, some called for the immediate exclusion of transgender women in sports while others argue that this exclusion is discriminatory behaviour in violation of human rights law. Under current standards, the International Olympic Committee (IOC) has sought to address the balance between fairness and inclusion by allowing eligibility to be decided on a sport-by-sport basis for all transgender athletes (IOC, 2021). What if an international federation or national governing body concludes that transgender athletes should be prohibited or subjected to rigorous conditions for participation? Would those qualifications stand up to legal challenge by an affected athlete? Will some athletes have better legal protection based on the location of their challenge?

The United States (US) and United Kingdom (UK) have domestic legal provisions that protect transgender individuals from discrimination based on their gender identity whereas the European Union (EU) includes protections based on sex alone (Patel, 2021). This chapter will discuss transgender inclusion policies in Olympic sport and address how potential challenges to the policies will be handled in court using existing case law. Legal precedent in similar challenges is rare. However, when eligibility policies do not explicitly ban transgender athletes or appear to be a targeted response to a specific athlete or individuals, it becomes more likely that those policies will not be considered discriminatory. Courts are hesitant to interfere in a governing body's policies if that organization appears to have a legitimate reason for its sport governance decisions.

Artificial intelligence-related inventions raise complex questions of how to define the boundaries around patentable subject matter. In the United States, many claim that the recent doctrinal developments by the Supreme Court have led to incoherence and excessive uncertainty within the innovation community. In response, policymakers and stakeholders have suggested legislative amendments to address these concerns. We first review these developments, and subsequently use the patent examination record to empirically test the claims of increased uncertainty. We find that, although uncertainty did spike following the Supreme Court's holding in Alice, it quickly returned to levels comparable to its historic norm. This has implications both for those advocating for legislative changes to the law of eligible subject matter, as well as other jurisdictions considering adopting a test similar to that applied in Alice.

Workers in the United States who lose their job may benefit from temporary assistance programs and may apply for Disability Insurance (DI) and Supplemental Security Income (SSI). We measure whether participation in four temporary assistance programs (Temporary Assistance for Needy Families (TANF), Supplemental Nutrition Assistance Program (SNAP), Unemployment Insurance (UI), and Temporary Disability Insurance programs (TDI)) influence application for DI, SSI, and re-employment. We instrument temporary assistance participation using variation in policies across states and over time. Results from our instrumental variables models suggest that increased access to UI benefits reduces applications for DI. This result is robust to different sensitivity checks. We also find less robust evidence that UI participation increases the probability of return to work and reduces the probability of claiming SSI benefits. In contrast, some of our results suggest a positive effect of SNAP participation on claiming SSI.

In order to study whether college scholarships can be an effective tool in raising students’ performance in secondary school, we use one aspect of the Kalamazoo Promise that resembles a quasi-experiment. The surprise announcement of the scholarship created a large change in expected college tuition costs that varied across different groups of students based on past enrollment decisions. This variation is arguably exogenous to unobserved student characteristics. We estimate the effects of this change by a set of “difference-in-differences” regressions where we compare the change in student outcomes in secondary school across time for different student “length of enrollment” groups. We also control for student fixed effects. We find positive effects of the Kalamazoo Promise on Promise-eligible students large enough to be deemed important – about a 9 percent increase in the probability of earning any credits and one less suspension day per year. We also find large increases in GPA among African American students.

This study examines the effect of a Medicaid disenrollment on employment, sources of health insurance coverage, and health and health care utilization of childless adults using longitudinal data from the 2004 Panel of the Survey of Income and Program Participation. From July to September 2005, TennCare, the Tennessee Medicaid program, disenrolled approximately 170,000 adults following a change in eligibility rules. Following this eligibility change, the fraction of adults in Tennessee covered by Medicaid fell by over 5 percentage points while uninsured rates increased by almost 5 percentage points relative to adults in other Southern states. There is no evidence of an increase in employment rates in Tennessee following the disenrollment. Self-reported health and access to medical care worsened as hospitalization rates, doctor visits, and dentist visits all declined while the use of free or public clinics increased. The Tennessee experience suggests that undoing the expansion of Medicaid eligibility to adults that occurred under the Affordable Care Act likely would reduce health insurance coverage, reduce health care access, and worsen health but would not lead to increases in employment.

All individuals are challenged by the movement from being an adolescent living at home and attending school to being an adult typically heading a household and working to support him or herself. This period of time is called the transition to adulthood and is even more challenging for youth from vulnerable populations such as youth with disabilities, in foster care, in juvenile justice system, and the like (Osgood, Foster, Flanagan, & Ruth, 2005). The ages that transition encompasses have not gained consensus in research literature or policy. It begins at ages 14–16 in policies such as the Individuals with Disabilities Education Act (IDEA; PL101-476, 1997 and 2004 amendments) or Federal programs such as the Social Security Administration's SSI Youth Transition Demonstration Projects, which identifies ages 22 and 25, respectively, as ending transition. Recent studies on young adulthood in the general population (Settersten, Frustenberg, & Rumbaut, 2005), found that by age 30, the rapid changes of young adulthood had typically stabilized. Thus, using the broadest ages indicated by policy and research, transition to stable adulthood encompasses ages 14–30.

Misidentification of students with disabilities is a widely publicized aspect of the shortcomings of our special education programs. Many factors can contribute to misidentification. In the Congressional Research Service (CRS) Report for Congress (Apling, 2001), three issues were specifically identified as reasons for possible misidentification. “Misidentification can result from failing to identify those with disabilities, from identifying children with disabilities they do not have, and from delaying identifying children with disabilities” (p. 2). In addition to the aforementioned concerns, an overrepresentation of minorities in special education programs has been a focal point for critics of special education programs and eligibility criteria for decades (see Harry & Klinger, 2006). Biases in assessment often lay the foundation for overrepresentation of minorities. Others express serious concerns regarding misidentification due to a direct result of the referral (or lack of effective prereferral) and evaluation practices used in many states (Ysseldyke, Algozzine, Richey, & Graden, 1982). Last, misidentification due to the changing eligibility criteria and differences in eligibility criteria across states has been added to the concerns in the field of special education.