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)
- [Paper] Effectiveness of the WHO Safe Childbirth Checklist Program in Reducing Severe Maternal, Fetal, and Newborn Harm: Study Protocol for a Matched-Pair, Cluster Randomized Controlled Trial in Uttar Pradesh, India (2016)
- [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 (2009)