Regional variation in the acceptance of insurance by mental health professionals: Evidence from MEPS
An econometric research study leveraging national health databases (MEPS/AHRF) to map regional disparities in mental health provider insurance acceptance.
Machine Learning
Project Overview
Presentation Type: Conference Poster Presentation (Southern Regional Science Association Conference).
Technologies Used: R, Python, Econometric Modeling, MEPS (Medical Expenditure Panel Survey), AHRF (Area Health Resources Files).
Timeline: Sep 2022 – 2024 (Presented 2024).
My Role: Health Economics Research Assistant & Presenter.
Overview: Compiled and analyzed national healthcare databases (MEPS, AHRF) to build econometric models examining regional disparities in mental health provider insurance acceptance and reimbursement rates across the United States. Presented findings at the 2024 SRSA conference to highlight mental health parity law gaps and access inequality.
How to Access: Poster / Abstract:
https://drive.google.com/file/d/16OYDPeqO2TJ9vf8tKxx-hiLyg9Q7QrSV/view?usp=sharing