Risk classification refers to the use of observable characteristics by insurers to group individuals with similar expected claims, to compute the corresponding premiums, and thereby to reduce asymmetric information. Permitting risk classification may reduce informational asymmetry-induced...

The Affordable Care Act is one of the most debated and dividing pieces of legislation in recent memory. One of the main elements of the ACA is the optional expansion of Medicaid eligibility to 138\% of the federal poverty line. The current debate has focused on the direct effects of the newly...

This article analyzes subject recruitment for the Mental Health Treatment Study (MHTS) — a national 23-site randomized trial that provided access to effective treatment and rehabilitation interventions for Social Security Disability Insurance (DI) beneficiaries with psychiatric impairments. We...

Risk classification refers to the use of observable characteristics by insurers to group individuals with similar expected claims, compute the corresponding premiums, and thereby reduce asymmetric information. With perfect risk classification, premiums fully reflect the expected cost associated...

Risk classification refers to the use of observable characteristics by insurers to group individuals with similar expected claims, compute the corresponding premiums, and thereby reduce asymmetric information. With perfect risk classification, premiums fully reflect the expected cost associated...

Risk classification refers to the use of observable characteristics by insurers to group individuals with similar expected claims, to compute the corresponding premiums, and thereby to reduce asymmetric information. Permitting risk classification may reduce informational asymmetry-induced...

Targeting of national anti-poverty programs in low-income countries commonly relies on statistical procedures involving household-level survey data, while small-scale poverty-alleviation programs often employ so-called community-based targeting, where village communities themselves identify...

We investigate the properties of health insurance demand in Burkina Faso, where we offered poor households a voluntary health insurance product at half the usual price. The targeting procedure we implemented delivers a fuzzy regression discontinuity design, which identifies the price elasticity...

Targeting of national anti-poverty programs in low-income countries commonly relies on statistical procedures involving household-level survey data, while small-scale poverty-alleviation programs often employ so-called community-based targeting, where village communities themselves identify...

We investigate the properties of health insurance demand in Burkina Faso, where we offered poor households a voluntary health insurance product at half the usual price. The targeting procedure we implemented delivers a fuzzy regression discontinuity design, which identifies the price elasticity...