Public Policy for the Poor? A Randomized Evaluation of the Mexican Universal Health Insurance Program (Harvard School of Public Health)
Gary King. 2022.
"Public Policy for the Poor? A Randomized Evaluation of the Mexican Universal Health Insurance Program (Harvard School of Public Health)."
Abstract
An evaluation of the Mexican Seguro Popular program (designed to extend health insurance and regular and preventive medical care, pharmaceuticals, and health facilities to 50 million uninsured Mexicans), one of the world’s largest health policy reforms of the last two decades. Our evaluation features a new design for field experiments that is more robust to the political interventions and implementation errors that have ruined many similar previous efforts; new statistical methods that produce more reliable and efficient results using fewer resources, assumptions, and data; and an implementation of these methods in the largest randomized health policy experiment to date. (See the publications from this project.)
See Also
- [Presentation] Public Policy for the Poor? A Randomized Evaluation of the Mexican Universal Health Insurance Program (2014)
- [Paper] A 'Politically Robust' Experimental Design for Public Policy Evaluation, With Application to the Mexican Universal Health Insurance Program (2007)
- [Paper] Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme (2009)
- [Dataset] Replication Data For: Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme (2009)
- [Paper] The Essential Role of Pair Matching in Cluster-Randomized Experiments, With Application to the Mexican Universal Health Insurance Evaluation (2009)
- [Paper] Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns (2020)
- [Paper] Global Maternal Health Country Typologies: A Framework to Guide Policy (2024)
- [Presentation] How to Measure Legislative District Compactness If You Only Know It When You See It (Harvard Law School) (2024)