Campus Box 1063
One Brookings Drive
St. Louis, MO 63130-4899
Professor Moore's research interests center around American social policy and statistical political methodology. Substantively, he is interested in the intersection of direct democ- racy, federalism, and the politics of old age pensions and health care. Methodologically, he develops and implements methods for political experiments, ecological data, missing data, and causal inference.
Moore, Ryan T. and Christopher T. Giovinazzo. “The Distortion Gap: Policymaking Under Federalism and Interest Group Capture”. Publius: The Journal of Federalism, 42(2), Forthcoming, 2012.
Moore, Ryan T. and Andrew Reeves. “The Job Market’s First Steps: Using Research Tools to Simplify the Process”. PS: Political Science & Politics, 44(2):385–391, April 2011.
King, Gary, Emmanuela Gakidou, Kosuke Imai, Jason Lakin, Ryan T. Moore, Clayton Nall, Nirmala Ravishankar, Manett Vargas, Martha Maria Tellez-Rojo, Juan Eugenio Hernandez Avila, Mauricio Hernandez Avila, and Hector Hernandez Llamas. "Public Policy for the Poor? A Randomized Assessment of the Mexican Universal Health Insurance Program". The Lancet, 373(9673):1447-54, 25 April 2009.
Lau, Olivia, Ryan T. Moore and Michael Kellermann. "eiPack: R × C Ecological Inference and Higher-Dimension Data Management". R News, 7(2):43-47, 2007.
King, Gary, Emmanuela Gakidou, Nirmala Ravishankar, Ryan T. Moore, Jason Lakin, Manett Vargas, Martha Maria Tellez-Rojo, Juan Eugenio Hernandez Avila, Mauricio Hernandez Avila and Hector Hernandez 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, 26(3):479-509, 2007.
The Welfare State and Social Policy in America (PS3551)
Visiting Scholar Statistical Research Seminar in Applied Statistics (ASTAT560)
Mathematical Modeling in Political Science (PS5052)