The Seguro Popular Evaluation Project:
Evaluation Designs and Analysis Methods for Public Policies, with
Application to the Mexican Seguro Popular de Salud
(Universal Health Insurance) Program

A Seguro Popular health clinic in the Mexican state of
Guerrero
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 considerably more
reliable and efficient results using substantially fewer resources,
assumptions, and data; and an implemention of these methods in the
largest randomized health policy experiment to date. (See the Harvard
Gazette story on this project.)
- The evaluation design: Gary
King, Emmanuela Gakidou, Nirmala Ravishankar, Ryan T. Moore,
Jason Lakin, Manett Vargas, Martha María
Téllez-Rojo, Juan Eugenio Hernández Ávila,
Mauricio Hernández Ávila, and Héctor
Hernández Llamas. A `Politically Robust'
Experimental Design for Public Policy Evaluation, with
Application to the Mexican Universal Health Insurance
Program, Journal of Policy Analysis and
Management, Vol. 26, Issue 3 (2007): 479-506. (Abstract: HTML | Article: PDF).
- The statistical analysis
methods: Kosuke Imai, Gary King, and Clayton Nall. The Essential Role of Pair Matching in
Cluster-Randomized Experiments, with Application to the Mexican
Universal Health Insurance Evaluation Statistical
Science, Vol. 24, No. 1 (2009): pp. 29--53 (Abstract: HTML | Article: PDF),
published with comments from four scholars and rejoinder by us,
"Matched Pairs and the Future of
Cluster-Randomized Experiments: A Rejoinder," Pp.65-72
(Abstract: HTML | Article: PDF)
- The results of the evaluation:
Gary King; Emmanuela Gakidou; Kosuke Imai; Jason Lakin; Ryan
T. Moore; Clayton Nall; Nirmala Ravishankar; Manett Vargas;
Martha María Téllez-Rojo, Juan Eugenio
Hernández Ávila, Mauricio Hernández
Ávila, and Héctor Hernández Llamas. Public Policy for the Poor? A Randomised Assessment
of the Mexican Universal Health Insurance Programme,
The Lancet, Vol. 373 (25 April 2009):
1447-1454. (Abstract: HTML | Article: PDF).
- The replication data sets: Gary
King; Emmanuela Gakidou; Kosuke Imai; Jason Lakin; Ryan
T. Moore; Clayton Nall; Nirmala Ravishankar; Manett Vargas;
Martha María Téllez-Rojo, Juan Eugenio
Hernández Ávila, Mauricio Hernández
Ávila, and Héctor Hernández Llamas. Replication Data for: Public Policy for the Poor? A
Randomised Assessment of the Mexican Universal Health
Insurance Programme, hdl:1902.1/11044
UNF:3:jeUN9XODtYUp2iUbe8gWZQ== Murray Research Archive
[Distributor].
Related work on causal inference