Dr. Justin Esarey is an Assistant Professor of Political Science at Rice University who specializes in political methodology. His areas of expertise include detecting and presenting context-specific relationships, model specification and sensitivity, the analysis of binary data, laboratory social experimentation, and promoting thoughtful inference (and thinking about inference) by using technology to make methodological resources available to the scholarly public. His recent substantive projects study the relationship between corruption and female participation in government, the effect of "naming and shaming" on human rights abuse, and the behavioral implications of political ideology.

Dr. Esarey is currently the editor of The Political Methodologist and the Principal Investigator of the International Methods Colloquium project.

Journal Articles

Esarey, Justin, and Andrew R. Wood. "Blogs, Online Seminars, and Social Media as Tools of Scholarship in Political Science." Conditionally accepted at PS: Political Science and Politics. [pdf] [replication file

Esarey, Justin. 2017. "Does Peer Review Identify the Best Papers? A Simulation Study of Editors, Reviewers, and the Scientific Publication Process." PS: Political Science and Politics, forthcoming. [pdf] [replication file]

Esarey, Justin and Andrew Menger. 2016. "Practical and Effective Approaches to Dealing with
Clustered Data." Conditionally accepted at Political Science Research and Methods. [pdf] [replication file]

Esarey, Justin, and Ahra Wu. 2016. "Measuring the Effects of Publication Bias in Political Science." Research and Politics 3(3): 1-9. [journal] [replication file] [coding sheets]

Esarey, Justin, and Jacqueline H. R. Demeritt. 2016. "Political Context and the Consequences of Naming and Shaming for Human Rights Abuse." Forthcoming at International Interactions. [pdf] [replication file]

Esarey, Justin, and Leslie Schwindt-Bayer. 2016. "Women’s Representation, Accountability, and Corruption in Democracies." Forthcoming at the British Journal of Political Science. [pdf] [online appendix] [replication data]

Esarey, Justin. 2016. "Fractionally Integrated Data and the Autodistributed Lag Model: Results from a Simulation Study." Political Analysis 24(1): 42-49. [pdf] [journal] [replication file]

Berry, William, Jacqueline H. R. Demeritt, and Justin Esarey. 2016. "Bias and Overconfidence in Parametric Models of Interactive Processes." American Journal of Political Science 60(2): 521-539. [pdf] [journal] [replication file]

Esarey, Justin and Nathan Danneman. 2015. "A Quantitative Method for Substantive Robustness Assessment." Political Science Research and Methods 3(1): 95-111. [pdf] [journal] [replication file] [software]

Esarey, Justin, and Jacqueline H. R. Demeritt. 2014. "Defining and Modeling State-Dependent Systems." Political Analysis 22(1): 66-85. [pdf] [journal] [replication file]

Esarey, Justin, and Gina Chirillo. 2013. "'Fairer Sex' or Purity Myth? Corruption, Gender, and Institutional Context." Politics and Gender 9(4): 390-413. [pdf] [journal] [replication file] [unrounded tables]

This paper was profiled by Reuters, Time, New York Magazine, Slate, The Guardian, WDET Radio, and in the Jezebel blog.

Esarey, Justin, and Andrew Pierce. 2012. "Assessing Fit Quality and Testing for Misspecification in
Binary Dependent Variable Models." Political Analysis 20(4): 480-500. [pdf] [journal] [software] [replication file]

Esarey, Justin, Timothy C. Salmon, and Charles Barrilleaux. 2012. "Social Insurance and Income Redistribution in a Laboratory Experiment." Political Research Quarterly 65(3): 685-698. [journal] [supplement] [errata and alternative analysis] [replication file]

Esarey, Justin, Timothy C. Salmon, and Charles Barrilleaux. 2012. "What Motivates Political Preferences? Self-Interest, Ideology, and Fairness in a Laboratory Democracy." Economic Inquiry 50(3): 604-624. [journal] [replication file]

Berry, William, Jacqueline H. R. Demeritt, and Justin Esarey. 2010. "Testing for Interaction in Binary Logit and Probit Models: Is a Product Term Essential?" American Journal of Political Science 54(1):248-266. [journal] [replication file]

Ahn, TK, Justin Esarey, and John Scholz. 2009. "Reputation and Cooperation in Voluntary Exchanges: Comparing Local and Central Institutions.” Journal of Politics 71(2): 398-413. [journal] [replication file]

Ahn, TK, and Justin Esarey. 2008. "A Dynamic Model of Generalized Social Trust." Journal of Theoretical Politics 20: 151-180. [journal] [supplement]

Esarey, Justin, Bumba Mukherjee, and Will H. Moore. 2008. "Strategic Interaction and Interstate Crises: A Bayesian Quantal Response Estimator for Incomplete Information Games." Political Analysis 16: 250-273. [journal] [replication file]

Book Chapters

Esarey, Justin. 2017. "Causal Inference with Observational Data." Chapter 4 in Analytics, Policy, and Governance, eds. Jennifer Bachner, Kathyn Wagner Hill, and Benjamin Ginsberg. New Haven: Yale University Press. [pdf] [replication file] [amazon link]

Revise and Resubmit

Esarey, Justin, and Jane Lawrence Sumner. "Marginal Effects in Interaction Models: Determining and Controlling the False Positive Rate." Invited to revise and resubmit at Comparative Political Studies. [pdf] [replication file]


Justin Esarey (PI). National Science Foundation Grant #1423825: "An Online Methods Colloquium for Quantitative Methodology in Political Science." 2014-2016. $252,384.

Justin Esarey (PI). Emory University Research Committee Grant: “A Formal Test of Substantive Significance.” $15,400.

Charles Barrilleaux (PI), Tim Salmon and Justin Esarey (Co-PIs.) National Science Foundation Grant #0720055: "Explaining Preferences for Social Insurance and Redistribution in a Laboratory Democracy," 2007-2009. $108,000.

Software Packages

clusterSEs package for R. Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller 2010, Journal of Business and Economic Statistics 28(4)), pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller 2008, Review of Economics and Statistics 90(3)). Procedures are included for use with GLM, ivreg, plm (fixed effects), and mlogit models. URL:

As of March 28th, 2017, this package has been downloaded 9141 times from the RStudio CRAN mirror.

interactionTest package for R. Allows researchers to calculate t-statistics that properly control the false discovery rate or familywise error rate when constructing marginal effects plots for models with interaction terms (Esarey and Sumner 2017). Co-authored with Jane Lawrence Sumner. URL:

As of March 28th, 2017, this package has been downloaded 3120 times from the RStudio CRAN mirror.

heatmapFit package for R. Generates a fit plot for diagnosing misspecification in models of binary dependent variables, and calculates the related heatmap fit statistic (Esarey and Pierce, 2012). Co-authored with Andrew Pierce and Jericho Du. URL:

As of March 28th, 2017, this package has been downloaded 10314 times from the RStudio CRAN mirror.

cstar package for R. Functions that allow a researcher to examine the robustness of the substantive significance of their findings. Implements ideas set out in Esarey and Danneman (2015). Co-authored with Nathan Danneman. URL:

As of March 28th, 2017, this package has been downloaded 7397 times from the RStudio CRAN mirror.

Working Papers

Esarey, Justin, and Jacob Jaffe. "A Direct Test for Consistency of Random Effects Models that Outperforms the Hausman Test." [pdf] [replication file]

Esarey, Justin, and Vera Liu. "A Prospective Test for Replicability and a Retrospective Analysis of Theoretical Prediction Strength in the Social Sciences." [poster] [replication file]

Esarey, Justin, and Leslie Schwindt-Bayer. "Estimating Causal Relationships Between Women's Representation in Government and Corruption." [pdf] [replication file]

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(c) Justin Esarey and Elizabeth Barre