Andy Green is a data scientist, a researcher, and a people manager with a passion for using data to make things better. He has over 9 years of experience in data-driven roles across government, think tanks, academia, and the private sector. He currently works as an Analytics Lead at BlueLabs, where he leads a team focused on delivering impactful digital outreach and a seamless website experience for Medicare beneficiaries.
Prior to joining BlueLabs, Andy was a quantitative health policy researcher at the Urban Institute. Some examples of his research include projecting how Medicaid enrollment will evolve after the COVID-19 public health emergency ends; developing machine learning models to predict churn in Medicaid and Marketplace eligibility; and estimating the coverage and cost effects of enhanced Marketplace premium subsidies.
Andy has a master's degree in Data Science for Public Policy from Georgetown University and a bachelor's degree in Business Administration from the University of Michigan.
Master of Science in Data Science for Public Policy (MS-DSPP), 2021
Georgetown University
Bachelor of Business Administration (BBA), 2014
University of Michigan
This report examines the substantial growth in Medicaid enrollment that has taken place over the course of the COVID-19 pandemic. We show that this growth has been largely driven by the continuous coverage requirement of the Families First Coronavirus Response Act. We project continued enrollment growth through the end of 2021, followed by rapid disenrollment in 2022 after the public health emergency (PHE) declaration expires. Our key findings are as follows:
The American Rescue Plan Act of 2021 increased premium tax credits (PTCs) for Marketplace coverage and extended eligibility for those credits to people with incomes above 400 percent of the federal poverty level (FPL). Consequently, Marketplace enrollment reached a record high during the 2022 open enrollment period. However, these enhancements are set to expire after 2022. Without extension, Marketplace enrollment will most likely fall and the number of people uninsured will increase.
This report examines the cost and coverage effects of lowering the age of Medicare eligibility from 65 to 60. We show that there would be improvements in health insurance coverage for most people ages 60-64, though these coverage gains would differ by enrollees’ income and current coverage. There would be a modest drop in the number of uninsured, and the remaining uninsured would now have access to Part A coverage for hospital expenses.
This project involved analyzing the language found on the campaign websites and Twitter feeds of 2020 congressional election candidates.
This project involved creating a proof-of-concept for an extension of the Census Bureau's County Business Patterns (CBP) data series, by adding revenue as an additional metric to the existing product.
Tracking and visualizing policy actions taken by the Biden administration