Publications by authors named "Amanda C Cook"

For 165 million nonelderly Americans, employers provide health insurance either by purchasing a fully insured plan or through self-insurance. By self-insuring, employers bear the financial risk for enrollees' health care spending and are accountable for plan management, either directly or by contracting with a third-party administrator. Using National Association of Insurance Commissioners data, we demonstrate that insurers are deeply entrenched in the provision of administrative services only (ASO) contracts for self-insured employers.

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Background: To evaluate the impact of medical cannabis laws (MCLs) on health insurance premiums. We study whether cannabis legalization significantly impacts aggregate health insurer premiums in the individual market. Increases in utilization could have spillover effects to patients in the form of higher health insurance premiums.

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To determine the impact of fraternity and sorority membership on condom use during sex. Utilizing data from The American College Health Association (ACHA) National College Health Assessment from 2016-2018, we estimated a linear probability, logistic, and instrumental variable model to determine the relationship between fraternity and sorority membership and the frequency of condom use during sex. Compared to non-fraternity members, fraternity members experience an increase in sex without a condom for both oral sex (13.

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To determine the impact of city-level cannabis decriminalization and medical marijuana laws (MMLs) on fatal traffic crashes in US cities. Using a census of fatal traffic crashes from the 2010 to 2017 Fatality Analysis Reporting System, we examined MMLs and cannabis decriminalization on fatal crashes by age and sex of driver. We used a Poisson difference-in-differences approach, exploiting temporal and geographic variation in marijuana decriminalization laws.

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This study identifies the impact of Hurricane Matthew on school attendance in an agricultural community in rural Haiti. We conducted a survey of parents whose children attended a rural school prior to Hurricane Matthew to determine the mechanism by which hurricanes impact school attendance. We determined the marginal effect of family size and school enrollment using a probit model.

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