Methodology

Forthcoming. “Concepts and Causal Inference.” In Collier, David, Essays on Concepts and Measurement. Zachary Elkins, Editor. Cambridge University Press (in process).

2024. Causal Inference and Knowledge Accumulation in Historical Political Economy. Oxford Handbook of Historical Political Economy, edited by Jeff Jenkins and Jared Rubin (with Anna Callis and Guadalupe Tuñón).

2023. Knowledge Accumulation Through Natural Experiments. Oxford Handbook of Methodological Pluralism, edited by Janet Box-Steffensmeier, Dino Christenson, and Valeria Sinclair-Chapman (with Anna Callis and Guadalupe Tuñón).

2023. Review of James Druckman, Experimental Thinking: A Primer on Social Science Experiments. Perspectives on Politics, 21 (2): 728-730 (journal link).

2022. Conditional Balance Tests: Increasing Sensitivity and Specificity With Prognostic Covariates. Working paper, https://arxiv.org/abs/2205.10478.

2020. Instrumental Variables: From Structural Equation Models to Design-based Causal Inference. In Luigi Curini and Robert J. Franzese, eds., SAGE Handbook of Research Methods in Political Science & International Relations. Sage Press (with Christopher Carter).

2019. Voter Information Campaigns and Political Accountability: Cumulative Findings from a Preregistered Meta-Analysis of Coordinated Trials. Science Advances 5 (7). (Lead author; with Guy Grossman, Macartan Humphreys, Susan Hyde, Craig McIntosh, Gareth Nellis, Claire L. Adida, Eric Arias, Clara Bicalho, Taylor C. Boas,8 Mark T. Buntaine, Simon Chauchard, Anirvan Chowdhury, Jessica Gottlieb, F. Daniel Hidalgo, Marcus Holmlund, Ryan Jablonski, Eric Kramon, Horacio Larreguy, Malte Lierl, John Marshall, Gwyneth McClendon, Marcus A. Melo, Daniel L. Nielson, Paula M. Pickering, Melina R. Platas, Pablo Querubín, Pia Raffler, and Neelanjan Sircar).

2019. Information, Accountability, and Cumulative Learning: Lessons from Metaketa I. 2019. Cambridge University Press, Cambridge Studies in Comparative Politics (with Guy Grossman, Macartan Humphreys, Susan Hyde, Craig McIntosh, and Gareth Nellis, Eds.).

Winner of the Best Book Award, Experimental Research Section of the American Political Science Association (2020)

2017. Contingency and Determinism in Research on Critical Junctures:
Avoiding the “Inevitability Framework.”
Qualitative and Multimethod Research, Spring 2017: 41-47. For all the contributions to this symposium on critical junctures, see here.

2016. Transparency and Reproducibility in Multi-Method Research. Revista de Ciencia Política 36 (3): 773-83 (with Fernando Rosenblatt).

2016. Transparency, Replication, and Cumulative Learning: What Experiments Alone Cannot Achieve. Annual Review of Political Science 19: 541-63.

2014. Improving Process Tracing: The Case of Multi-Method Research (pre-proof version). In Andrew Bennett and Jeffrey Checkel, eds., Process Tracing in the Social Sciences: From Metaphor to Analytic Tool. Cambridge University Press.

2012. Natural Experiments in the Social Sciences: A Design-Based Approach. Cambridge University Press.

Co-Winner, Best Book Award, Experimental Research Section of the American Political Science Association.

2012. Natural and Field Experiments in the Study of Latin American Politics. In Peter Kingstone and Deborah Yashar, eds., Routledge Handbook of Latin American Politics. Routledge (Taylor & Francis).

2011. Does Blocking Reduce Attrition Bias? Newsletter of the Experimental Section of the American Political Science Association. May 2011.

2010. Instrumental Variables. Prepared for inclusion in the International Encyclopedia of Political Science.

2010. Natural Experiments. Prepared for inclusion in the International Encyclopedia of Political Science.

2010. Design-Based Inference: Beyond the Pitfalls of Regression Analysis? In David Collier and Henry Brady, eds., Rethinking Social Inquiry: Diverse Tools, Shared Standards. Lanham, MD: Rowman & Littlefield, 2nd edition.

2008. Model Specification in Instrumental-Variables Regression. Political Analysis 16 (3): 290-302. Online version published as doi:10.1093/pan/mpm039 (February 10, 2008). The preprint version is also available here; simulations discussed in the article are here. Stata code for the simulations is in a rich-text format file here.

2008. Improving Causal Inference: Strengths and Limitations of Natural Experiments. Political Research Quarterly 61 (2): 282-293. Online version is also available here (October 3, 2007).

2008. The Analysis of Experimental Data: Comparing Techniques. Working paper (with Susan Hyde). Presented at the annual meetings of the American Political Science Association, Boston, MA, August 29-September 1, 2008.

2008.Natural and Field Experiments: The Role of Qualitative Methods. Qualitative Methods 6 (2) (Newsletter of the American Political Science Association’s Organized Section on Qualitative Methods).

2008. Review of John Gerring, Case Study Research: Principles and Practices, Cambridge University Press. 2008. In The Journal of Politics, 70 (1): 282-83. Advance version online as doi:10.1017/S0022381607080243.

2007. Modeling Selection Effects. In William Outhwaite and Stephen P. Turner, eds., The SAGE Handbook of Social Science Methodology. London: Sage Publications (with David Freedman).

2007. The Role of Iteration in Multi-Method Research. Qualitative Methods (Newsletter of the American Political Science Association’s Organized Section on Qualitative Methods), 5 (1). Click here to see the complete symposium on multi-method research and here to see the entire issue of the newsletter.

2007. Report to a committee of the National Academy of Sciences on improving USAID program evaluation: Field memos from Peru. . The committee’s full report is available online here.