Ryan T. Moore > Research


Refereed Journal Articles

Moore, Ryan T. and Andrew Reeves. Defining Racial and Ethnic Context with Geolocation Data. Political Science Research & Methods, Forthcoming, 2017.
[PDF version] | Cambridge Journals page | Dataverse for replication data

Shenson, Douglas, Ryan T. Moore, William Benson, and Lynda A. Anderson. Polling Places, Pharmacies, and Public Health: Vote & Vax 2012. American Journal of Public Health, 105(6):e12-e15, 2015.
[PDF version] | APHA Journal page | Dataverse for replication data | JAMA Coverage

Moore, Ryan T. Overcoming Barriers to Heterogeneous-Group Learning in the Political Science Classroom. PS: Political Science & Politics, 48(1):149-156, 2015.
[PDF version] | Cambridge Journals page | Dataverse for replication data

Moore, Ryan T. and Sally A. Moore. Blocking for Sequential Political Experiments. Political Analysis, 21(4):507-523, 2013.
[PDF version] | Oxford Journals page | Supplementary Appendix | Dataverse for replication data

Moore, Ryan T., Eleanor Neff Powell, and Andrew Reeves. Driving Support: Workers, PACs, and Congressional Support of the Auto Industry. Business and Politics, 15(2):137-162, 2013.
[PDF version] | De Gruyter Journals page | Supplementary Appendix | Dataverse for replication data

Moore, Ryan T. Multivariate Continuous Blocking to Improve Political Science Experiments. Political Analysis, 20(4):460-479, 2012.
[PDF version] | Oxford Journals page | Supplementary Appendix |Dataverse for replication data

Moore, Ryan T. and Christopher T. Giovinazzo. The Distortion Gap: Policymaking Under Federalism and Interest Group Capture. Publius: The Journal of Federalism, 42(2):189-210, 2012.
[PDF version] | Oxford Journals page | Supplementary Appendix

Moore, Ryan T. and Nirmala Ravishankar. Who Loses in Direct Democracy?. Social Science Research, 41(3):646-656, May 2012.
[PDF version] | Science Direct page | Dataverse for replication data

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.
[PDF version] (For best results, view with Adobe Reader or in a web browser window.) | muRL software page

King, Gary, 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 Randomized Assessment of the Mexican Universal Health Insurance Program. The Lancet, 373(9673):1447-54, 25 April 2009.
[PDF version] | Dataverse for replication data.

Dalton, W. Brian, Mandayam O. Nandan, Ryan T. Moore and Vincent W. Yang. Human Cancer Cells Commonly Acquire DNA Damage During Mitotic Arrest. Cancer Research, 67(24):11487-11492, 15 December 2007.
[PDF version]

Lau, Olivia, Ryan T. Moore and Michael Kellermann. eiPack: R x C Ecological Inference and Higher-Dimension Data Management. R Journal, 7(2):43-47, 2007.
[PDF version]

King, Gary, 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, 26(3):479-509, 2007.
[PDF version]

Book Chapters

Moore, Ryan T. and Andrew Reeves. ``Learning from Place in the Era of Geolocation". In Jennifer Bachner, Kathryn Wagner Hill, and Benjamin Ginsberg, editors, Analytics, Policy and Governance, pages 118-136. Yale University Press, 2017.
Text | Chapter

Invited Contributions and Other Publications

Montgomery, Jacob and Ryan T. Moore. Building and Maintaining R Packages with devtools and roxygen2. The Political Methodologist, 22(1):26-31, 2014.
[PDF version] | Blog post

Moore, Ryan T. Blocking Political Science Experiments: Why, How, and Then What?. The Experimental Political Scientist, 1(1):3-5, 2010.
[PDF version]

Moore, Ryan T. Review of Essential Mathematics for Political and Social Research, by Jeff Gill. The Political Methodologist, 14(2):16-18, 2006.
[PDF version]