Advances in Political Methodology

Contents: Research Review Robert J. Franzese Jr. PART I ADVANCES IN BAYESIAN METHODS 1. Simon Jackman (2000), 'Estimation and Inference via Bayesian Simulation: An Introduction to Markov Chain Monte Carlo', American Journal of Political Science, 44 (2), April, 375-404 2. Joshua Clinton, Simon Jackman and Douglas Rivers (2004), 'The Statistical Analysis of Roll Call Data', American Political Science Review, 98 (2), May, 355-70 3. Richard Traunmuller, Andreas Murr and Jeff Gill (2015), 'Modeling Latent Information in Voting Data with Dirichlet Process Priors', Political Analysis, 23 (1), Winter, 1-20 4. Yair Ghitza and Andrew Gelman (2013), 'Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups', American Journal of Political Science, 57 (3), July, 762-76 5. Devin Caughey and Christopher Warshaw (2015), 'Dynamic Estimation of Latent Opinion Using a Hierarchical Group-Level IRT Model', Political Analysis, 23 (2), Spring, 197-211 PART II ADVANCES IN TIME-SERIES, TIME-SERIES-CROSS-SECTION/PANEL, AND EVENT-HISTORY/DURATION MODELLING 6. Janet M. Box-Steffensmeier and Bradford S. Jones (1997), 'Time Is of the Essence: Event History Models in Political Science', American Journal of Political Science, 41 (4), October, 1414-61 7. Frederick J. Boehmke, Daniel S. Morey and Megan Shannon (2006), 'Selection Bias and Continuous-Time Duration Models: Consequences and a Proposed Solution', American Journal of Political Science, 50 (1), January, 192-207 8. Jude C. Hays, Emily U. Schilling and Frederick J. Boehmke (2015), 'Accounting for Right Censoring in Interdependent Duration Analysis', Political Analysis, 23 (3) Summer, 400-14 9. Jude C. Hays and Robert J. Franzese, Jr. (2009), 'A Comparison of the Small-Sample Properties of Several Estimators for Spatial-Lag Count Models', paper submitted at the 2009 Summer Meeting of The Society of Political Methodology, New Haven, CT, USA, July 23-5, i, 1-27 10. Patrick T. Brandt, Michael Colaresi and John R. Freeman (2008), 'The Dynamics of Reciprocity, Accountability, and Credibility', Journal of Conflict Resolution, 52 (3), June, 343-74 11. Patrick T. Brandt, John R. Freeman and Philip A. Schrodt (2011), 'Real Time, Time Series Forecasting of Inter- and Intra-State Political Conflict', Conflict Management and Peace Science, 28 (1), February, 41-64 12. Daniel Stegmueller (2013), 'Modeling Dynamic Preferences: A Bayesian Robust Dynamic Latent Ordered Probit Model', Political Analysis, 21 (3), Summer, 314-33 13. Xun Pang (2014), 'Varying Responses to Common Shocks and Complex Cross-Sectional Dependence: Dynamic Multilevel Modeling with Multifactor Error Structures for Time-Series Cross-Sectional Data', Political Analysis, 22 (4), Autumn, 464-96 14. Robert J. Franzese, Jr. and Jude C. Hays (2008), 'Empirical Models of Spatial Interdependence' in Janet M. Box-Steffensmeier, Henry E. Brady and David Collier (eds), Oxford Handbook of Political Methodology, Oxford, UK: Oxford University Press, Part VII, Chapter 25, 570-604 15. Robert J. Franzese, Jr., 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), January, 151-73 PART III ADVANCES IN NETWORK ANALYSIS 16. B. A. Desmarais and S. J. Cranmer (2012), 'Statistical Mechanics of Networks: Estimation and Uncertainty', Physica A: Statistical Mechanics and it's Applications, 391 (4), February, 1865-76 17. Bruce A. Desmarais and Skyler J. Cranmer (2012), 'Micro-Level Interpretation of Exponential Random Graph Models with Application to Estuary Networks', Policy Studies Journal, 40 (3), August, 402-34 18. Bruce A. Desmarais, Jeffrey J. Harden and Frederick J. Boehmke (2015), 'Persistent Policy Pathways: Inferring Diffusion Networks in the American States', American Political Science Review, 109 (2), May, 392-406 19. Jeff Gill and John R. Freeman (2013), 'Dynamic Elicited Priors for Updating Covert Networks', Network Science, 1 (1), April, 68-94 20. Jude C. Hays, Aya Kachi and Robert J. Franzese, Jr. (2010), 'A Spatial Model Incorporating Dynamic, Endogenous Network Interdependence: A Political Science Application', Statistical Methodology, 7 (3), May, 406-28 21. Robert J Franzese, Jr., Jude C. Hays and Aya Kachi (2012), 'Modeling History Dependence in Network-Behavior Coevolution', Political Analysis, 20 (2), Spring, 175-90 PART IV ADVANCES IN TEXT-ANALYTIC, CLASSIFICATION AND BIG-DATA METHODS 22. Phillip A Schrodt and David Van Brackle (2013) 'Automated Coding of Political Event Data' in V.S. Subrahmanian (ed.), Handbook of Computational Approaches to Counterterrorism, Chapter 2, New York, USA: Springer, 23-49 23. Justin Grimmer and Gary King (2011), 'General Purpose Computer-Assisted Clustering and Conceptualization', Proceedings of the National Academy of Sciences, 108 (7), February, 2643-50 24. Vito D'Orazio, Steven T. Landis, Glenn Palmer and Philip Schrodt (2014), 'Separating the Wheat from the Chaff: Applications of Automated Document Classification Using Support Vector Machines', Political Analysis, 22 (2), Spring, 224-42 25. Justin Grimmer and Brandon M. Stewart (2013), 'Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts', Political Analysis, 21 (3), Summer, 267-97 26. Martin Elff (2013), 'A Dynamic State-Space Model of Coded Political Texts', Political Analysis, 21 (2), Spring, 217-32 27. Christopher Lucas, Richard A. Nielson, Margaret E. Roberts, Brandon M. Stewart, Alex Storer and Dustin Tingley (2015), 'Computer Assisted Text Analysis for Comparative Politics', Political Analysis, 23 (2), Spring, 254-77 PART V ADVANCES IN NONPARAMETRIC & DESIGN-BASED INFERENCE METHODS 28. Jasjeet S. Sekhon (2008), 'The Neyman-Rubin Model of Causal Inference and Estimation via Matching Methods', in Janet M. Box-Steffensmeier, Henry E. Brady and David Collier (eds), Oxford Handbook of Political Methodology, Part VI, Chapter 11, Oxford, UK: Oxford University Press, 271-99 29. Jasjeet Sekhon and Rocio Titiunik (2012), 'When Natural Experiments Are Neither Natural Nor Experiments', American Political Science Review, 106 (1), February, 35-57 30. Peter M. Aronow and Allison Carnegie (2013), 'Beyond LATE: Estimation of the Average Treatment Effect with an Instrumental Variable', Political Analysis, 21 (4), Autumn, 492-506 31. Kosuke Imai, Luke Keele, Dustin Tingley and Teppai Yamamoto (2011), 'Unpacking the Black Box of Causality: Learning about Casual Mechanisms from Experimental and Observational Studies', American Political Science Review, 105 (4), November, 765-89 32. Kosuke Imai and Marc Ratkovic (2013), 'Estimating Treatment Effect Heterogeneity in Randomized Program Evaluation', Annals of Applied Statistics, 7 (1), 443-70 33. Luke Keele and Rocio Titiunik (2016), 'Natural Experiments Based on Geography', Political Science Research and Methods, 4 (1), January, 65-95 34. Luke Keele, Rocio Titiunik and Jose Zubizarreta (2015), 'Enhancing a Geographic Regression Discontinuity Design Through Matching To Estimate the Effect of Ballot Initiatives on Voter Turnout', Journal of the Royal Statistical Society: Statistics in Society, Series A, 178 (1), 223-39 [17] Index

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