Replication data for:
Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme
Replication Data For: Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme
Gary King, Emmanuela Gakidou, Kosuke Imai, Jason Lakin, Ryan Moore, Clayton Nall, Nirmala Ravishankar, Manett Vargas, Martha María Téllez-Rojo, Juan Eugenio Hernández Ávila, Mauricio Hernández Ávila, Héctor Hernández Llamas. 2009.
"Replication Data For: Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme".
See Also
- [Paper] Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme (2009)
- [Paper] A 'Politically Robust' Experimental Design for Public Policy Evaluation, With Application to the Mexican Universal Health Insurance Program (2007)
- [Paper] Do Nonpartisan Programmatic Policies Have Partisan Electoral Effects? Evidence from Two Large Scale Experiments (2020)
- [Paper] Matched Pairs and the Future of Cluster-Randomized Experiments: A Rejoinder (2009)
- [Paper] The Essential Role of Pair Matching in Cluster-Randomized Experiments, With Application to the Mexican Universal Health Insurance Evaluation (2009)
- [Presentation] Public Policy for the Poor? A Randomized Evaluation of the Mexican Universal Health Insurance Program (Harvard School of Public Health) (2022)
- [Presentation] Public Policy for the Poor? A Randomized Evaluation of the Mexican Universal Health Insurance Program (2014)
- [Paper] Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns (2020)