Published

Peer-Reviewed Journal Articles

• Niehaus, John, Lin Zhu, Scott J. Cook, and Mikyoung Jun.“bizicount: Bivariate Zero-Inflated Count Copula Regression using R,” Forthcoming at the Journal of Statistical Software

• Jun, Mikyoung and Scott J. Cook. 2024. “Flexible multivariate spatio-temporal Hawkes process models of terrorism,” Annals of Applied Statistics , 18(2): 1378–1403.

• Cook, Scott J. and David Fortunato. 2023. “The Politics of Police Data: State Legislative Capacity and the Transparency of State and Substate Agencies,” American Political Science Review, 117(1): 280-295.

• Cook, Scott J., Jude C. Hays, and Robert J. Franzese. 2023. “STADL Up! The Spatio-Temporal Autoregressive Distributed Lag Model for TSCS Data Analysis,” American Political Science Review, 117(1): 59-79.

• Zhong, Yan, Huiyan Sang, Scott Cook, and Paul Kellstedt. 2023. “Sparse Spatially Clustered Coefficient Model via Adaptive Regularization,” Computational Statistics and Data Analysis, Vol. 177.

• Cook, Scott J. and Nils Weidmann. 2022. “Race to the Bottom: Spatial aggregation and event data,” International Interactions, 48(3): 471-491.

• Cook, Scott J. and Clay Webb. 2021. “Lagged outcomes, lagged predictors, and lagged errors: A clarification on common factors,” Political Analysis, 29(4): 561-569.

• Betz, Timm, Scott J. Cook, and Florian Hollenbach. 2021. “Bias from network misspecification under spatial dependence,” Political Analysis, 29(2): 260-266.

• Cook, Scott J. and Cameron Thies. 2021. “In plain sight? Reconsidering the linkage between brideprice and violent conflict,” Conflict Management and Peace Science, 38(2): 129-146.

• Betz, Timm, Scott J. Cook, and Florian Hollenbach. 2020. “Spatial interdependence and instrumental variable models,” Political Science Research and Methods, 8(4): 646-661.

• Cook, Scott J., Jude C. Hays, and Robert J. Franzese. 2020. “Fixed Effects in Rare Events Data: A Penalized Maximum Likelihood Approach,” Political Science Research and Methods, 8(1): 92-105.

• Cook, Scott J. and Nils Weidmann. 2019. “Lost in Aggregation: Improving Event Analysis with Report-Level Data,” American Journal of Political Science, 63(1): 250-264.

• Cook, Scott J., Seung-Ho An, and Nathan Favero. 2019. “Beyond Policy Diffusion: Spatial Econometric Models of Public Administration,” Journal of Public Administration Research and Theory, 29(4): 591-608.

• Betz, Timm, Scott J. Cook, and Florian M. Hollenbach. 2018. “On the Use and Abuse of Spatial Instruments,” Political Analysis, 26(4): 474-479.

• Cook, Scott J., John Niehaus, and Samantha Zuhlke. 2018. “A Warning on Separation in Multinomial Logistic Models,” Research & Politics, 5(2): 1-5.

• Cook, Scott J., Betsabe Blas, Raymond Carroll, and Samiran Sinha. 2017. “Two Wrongs Make a Right: Addressing Misclassification in Binary-Outcome Data from Multiple Sources,” Political Analysis, 25(2): 223-240.

• Cook, Scott J. and Burcu Savun. 2016. “New Democracies and the Risk of Civil Conflict: The Lasting Legacy of Military Rule,” Journal of Peace Research, 53(6): 745-757.

• Franzese, Robert J., Jude C. Hays, and Scott J. Cook. 2016. “Spatial- and Spatiotemporal-Autoregressive Probit Models of Interdependent Binary Outcomes,” Political Science Research and Methods, 4(1): 151-173.

  • Reprinted in Quantitative Research in Political Science: Empirical Methods & Applications (Vol. 4), Robert Franzese, ed., SAGE Major Works.

Book Chapter

• Cook, Scott J., Jude C. Hays, and Robert J. Franzese. 2019. “Model Selection and Spatial Interdependence,” Forthcoming in The Sage Handbook for Research Methods in Political Science & International Relations.

Book Review 

• Cook, Scott J. 2010. “Investing in Protection: The Politics of Preferential Trade Agreements between North and South by Mark Manger.” Review of International Organizations 5(4).

Work in Progress

Book Manuscript

• Cook, Scott J., Robert J. Franzese, and Jude C. Hays. Empirical Analysis of Spatial Interdependence Under contract with Cambridge University Press.

Article Manuscripts (Under review) 

• “Potholes, 311 reports, and a theory of heterogeneous resident demand for city services,” co-authored with Samantha Zuhlke and Robin Saywitz. Conditionally accepted at the Policy Studies Journal.

• “On minimum contrast method for multivariate spatial point processes,” co-authored with Junho Yang, Lin Zhu, and Mikyoung Jun.

• “Addressing duplicated data in point process models,” co-authored with Lingling Chen and Mikyoung Jun.

• “The promise and perils of point process models of political events,” co-authored with Lin Zhu and Mikyoung Jun.

External Grants

• National Science Foundation Research Grant (DMS-1925119). Sep 1, 2019 - Aug 31, 2023. “Global Terrorism Threat Detection by Nonstationary, Spatio-Temporal Hawkes Process Models,” Co-PI with Mikyoung Jun. ($315,999).