Published
Peer-Reviewed Journal Articles
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., Samantha Zuhlke, and Robin Saywitz. 2024. “Potholes, 311 reports, and a theory of heterogeneous resident demand for city services,” Policy Studies Journal, 52(3): 647-669.
Niehaus, John, Lin Zhu, Scott J. Cook, and Mikyoung Jun. 2024. “bizicount: Bivariate Zero-Inflated Count Copula Regression using R,” Journal of Statistical Software, 109(1): 1-42.
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)
“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.
Major Grants
PI, National Science Foundation Research Grant (DMS-2413043). “Accounting for geolocation error in point pattern analysis,” with Mikyoung Jun. (Full grant: $199,947; Institutional award: $50,000). Sep 1, 2024 - Aug 31, 2027.
Co-PI, National Science Foundation Research Grant (DMS-1925119). “Global Terrorism Threat Detection by Nonstationary, Spatio-Temporal Hawkes Process Models,” with Mikyoung Jun. ($315,999). Sep 1, 2019 - Aug 31, 2023.