This paper examines the economic consequences of manipulation of social insurance benefits. Using administrative data of the public long-term care insurance (LTCI) in Japan, we document novel discontinuity and bunching in the distribution of health scores that determine benefit levels for LTCI....

The COVID-19 pandemic has delivered an unprecedented shock to the United States and the world. It is unclear precisely how long the twin crises, epidemiological and economic, will last, and it is difficult to gauge the extent and direction of the changes in American life these crises will cause....

This paper exploits variation resulting from a series of federal and state Medicaid expansions between 1979 and 2014 to estimate the effects of child's access to public health insurance on labor market outcomes of parents. The results imply that extended Medicaid eligibility of children leads to...

We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the...

One of the most basic assumptions of our legal system is that when two parties face off in court, the case will be adjudicated before a judge who is trained in the law. This Essay begins by showing that empirically, the assumption that most judges have legal training does not hold true for many...

This article explores the role of the Social Security Disability Insurance (DI) and Supplemental Security Income (SSI) cash benefit programs in providing access to public health insurance coverage among working-aged people with disabilities, using a sample of administrative records spanning 84...

We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the...

We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the...

In this paper we study the causal effect of a large expansion of publicly provided health insurance on children's academic performance using the case of Mexico. In general, access to free health insurance could improve education outcomes directly by making household members healthier or...

Understanding the causal impacts of taking youth on the margins of risk into foster care is an element of the evidence-base on which policy development for this crucial function of government relies. Yet, there is little research looking at these causal impacts; neither is there much empirical...