Political Analysis

1999 - 2024

From Cambridge University Press
Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
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Volume 32, issue 2, 2024

Generalized Kernel Regularized Least Squares pp. 157-171

Qing Chang and Max Goplerud

Hypothesis Tests under Separation pp. 172-185

Carlisle Rainey

Dyadic Clustering in International Relations pp. 186-198

Jacob Carlson, Trevor Incerti and P. M. Aronow

A Framework for the Unsupervised and Semi-Supervised Analysis of Visual Frames pp. 199-220

Michelle Torres

Face Detection, Tracking, and Classification from Large-Scale News Archives for Analysis of Key Political Figures pp. 221-239

Andreu Girbau, Tetsuro Kobayashi, Benjamin Renoust, Yusuke Matsui and Satoh, Shin’ichi

Implementation Matters: Evaluating the Proportional Hazard Test’s Performance pp. 240-255

Shawna K. Metzger

Explaining Recruitment to Extremism: A Bayesian Hierarchical Case–Control Approach pp. 256-274

Roberto Cerina, Christopher Barrie, Neil Ketchley and Aaron Y. Zelin

The Effect of Fox News on Health Behavior during COVID-19 pp. 275-284

Elliott Ash, Sergio Galletta, Dominik Hangartner, Yotam Margalit and Matteo Pinna

Trading Liberties: Estimating COVID-19 Policy Preferences from Conjoint Data pp. 285-293

Felix Hartmann, Macartan Humphreys, Ferdinand Geissler, Heike Klüver and Johannes Giesecke

Trading Liberties: Estimating COVID-19 Policy Preferences from Conjoint Data – CORRIGENDUM pp. 294-294

Felix Hartmann, Macartan Humphreys, Ferdinand Geissler, Heike Klüver and Johannes Giesecke

Volume 32, issue 1, 2024

Sensitivity Analysis for Survey Weights pp. 1-16

Erin Hartman and Melody Huang

Integrating Data Across Misaligned Spatial Units pp. 17-33

Yuri M. Zhukov, Jason S. Byers, Marty A. Davidson and Ken Kollman

It’s All in the Name: A Character-Based Approach to Infer Religion pp. 34-49

Rochana Chaturvedi and Sugat Chaturvedi

Hierarchical Bayesian Aldrich–McKelvey Scaling pp. 50-64

Jørgen Bølstad

Multilevel Calibration Weighting for Survey Data pp. 65-83

Eli Ben-Michael, Avi Feller and Erin Hartman

Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI pp. 84-100

Moritz Laurer, Wouter van Atteveldt, Andreu Casas and Kasper Welbers

Measuring Closeness in Proportional Representation Systems pp. 101-114

Simon Luechinger, Mark Schelker and Lukas Schmid

Relatio: Text Semantics Capture Political and Economic Narratives pp. 115-132

Elliott Ash, Germain Gauthier and Philine Widmer

Selecting More Informative Training Sets with Fewer Observations pp. 133-139

Aaron Kaufman

Simulating Party Shares pp. 140-147

Denis Cohen and Chris Hanretty

The Role of Majority Status in Close Election Studies pp. 148-155

Matteo Alpino and Marta Crispino

Relatio: Text Semantics Capture Political and Economic Narratives – ERRATUM pp. 156-156

Elliott Ash, Germain Gauthier and Philine Widmer

Volume 31, issue 4, 2023

Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction pp. 481-499

Sonja Häffner, Martin Hofer, Maximilian Nagl and Julian Walterskirchen

Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect pp. 500-518

Kirk Bansak, Jens Hainmueller, Daniel J. Hopkins and Teppei Yamamoto

Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds pp. 519-536

Robert Kubinec

Measuring Swing Voters with a Supervised Machine Learning Ensemble pp. 537-553

Christopher Hare and Mikayla Kutsuris

Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study pp. 554-574

Alexander Tarr, June Hwang and Kosuke Imai

Acquiescence Bias Inflates Estimates of Conspiratorial Beliefs and Political Misperceptions pp. 575-590

Seth J. Hill and Margaret E. Roberts

When Correlation Is Not Enough: Validating Populism Scores from Supervised Machine-Learning Models pp. 591-605

Michael Jankowski and Robert A. Huber

Ends Against the Middle: Measuring Latent Traits when Opposites Respond the Same Way for Antithetical Reasons pp. 606-625

JBrandon Duck-Mayr and Jacob Montgomery

Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text pp. 626-641

Tobias Widmann and Maximilian Wich

Bridging the Grade Gap: Reducing Assessment Bias in a Multi-Grader Class pp. 642-650

Sean Kates, Tine Paulsen, Sidak Yntiso and Joshua A. Tucker

Recalibration of Predicted Probabilities Using the “Logit Shift”: Why Does It Work, and When Can It Be Expected to Work Well? pp. 651-661

Evan T. R. Rosenman, Cory McCartan and Santiago Olivella

Topic Classification for Political Texts with Pretrained Language Models pp. 662-668

Yu Wang

Mapping Literature with Networks: An Application to Redistricting pp. 669-678

Adeline Lo, Devin Judge-Lord, Kyler Hudson and Kenneth R. Mayer

Volume 31, issue 3, 2023

Implementing Partisan Symmetry: Problems and Paradoxes pp. 305-324

Daryl DeFord, Natasha Dhamankar, Moon Duchin, Varun Gupta, Mackenzie McPike, Gabe Schoenbach and Ki Wan Sim

The Essential Role of Statistical Inference in Evaluating Electoral Systems: A Response to DeFord et al pp. 325-331

Jonathan N. Katz, Gary King and Elizabeth Rosenblatt

Implementing Partisan Symmetry: A Response to a Response pp. 332-334

Daryl DeFord, Natasha Dhamankar, Moon Duchin, Varun Gupta, Mackenzie McPike, Gabe Schoenbach and Ki Wan Sim

Rejoinder: Concluding Remarks on Scholarly Communications pp. 335-336

Jonathan N. Katz, Gary King and Elizabeth Rosenblatt

Out of One, Many: Using Language Models to Simulate Human Samples pp. 337-351

Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua R. Gubler, Christopher Rytting and David Wingate

Non-Separable Preferences in the Statistical Analysis of Roll Call Votes pp. 352-365

Garret Binding and Lukas F. Stoetzer

Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings pp. 366-379

Hauke Licht

Multiple Hypothesis Testing in Conjoint Analysis pp. 380-395

Guoer Liu and Yuki Shiraito

The Ideologies of Organized Interests and Amicus Curiae Briefs: Large-Scale, Social Network Imputation of Ideal Points pp. 396-413

Sahar Abi-Hassan, Janet M. Box-Steffensmeier, Dino P. Christenson, Aaron Kaufman and Brian Libgober

Detecting and Correcting for Separation in Strategic Choice Models pp. 414-429

Casey Crisman-Cox, Olga Gasparyan and Curtis S. Signorino

A Nonparametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US pp. 430-447

Yuki Shiraito, James Lo and Santiago Olivella

Learning from Null Effects: A Bottom-Up Approach pp. 448-456

Alrababa’h, Ala’, Scott Williamson, Andrea Dillon, Jens Hainmueller, Dominik Hangartner, Michael Hotard, David D. Laitin, Duncan Lawrence and Jeremy Weinstein

Hierarchically Regularized Entropy Balancing pp. 457-464

Yiqing Xu and Eddie Yang

Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting pp. 465-471

Kevin DeLuca and John A. Curiel

Contagion, Confounding, and Causality: Confronting the Three C’s of Observational Political Networks Research pp. 472-479

Medha Uppala and Bruce A. Desmarais

Volume 31, issue 2, 2023

Blocks as Geographic Discontinuities: The Effect of Polling-Place Assignment on Voting pp. 165-180

Sabina Tomkins, Keniel Yao, Johann Gaebler, Tobias Konitzer, David Rothschild, Marc Meredith and Sharad Goel

Quantifying Bias from Measurable and Unmeasurable Confounders Across Three Domains of Individual Determinants of Political Preferences pp. 181-194

Rafael Ahlskog and Sven Oskarsson

Using Multiple Pretreatment Periods to Improve Difference-in-Differences and Staggered Adoption Designs pp. 195-212

Naoki Egami and Soichiro Yamauchi

Taking Distributions Seriously: On the Interpretation of the Estimates of Interactive Nonlinear Models pp. 213-234

Andrei Zhirnov, Mert Moral and Evgeny Sedashov

Sentiment is Not Stance: Target-Aware Opinion Classification for Political Text Analysis pp. 235-256

Samuel E. Bestvater and Burt L. Monroe

Change-Point Detection and Regularization in Time Series Cross-Sectional Data Analysis pp. 257-277

Jong Hee Park and Soichiro Yamauchi

The Consequences of Model Misspecification for the Estimation of Nonlinear Interaction Effects pp. 278-287

Janina Beiser-McGrath and Liam F. Beiser-McGrath

Geographic Boundaries and Local Economic Conditions Matter for Views of the Economy pp. 288-294

James Bisbee and Jan Zilinsky

Balance as a Pre-Estimation Test for Time Series Analysis pp. 295-304

Mark Pickup and Paul M. Kellstedt

Volume 31, issue 1, 2023

Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset pp. 1-21

Georgina Evans and Gary King

Party Positions from Wikipedia Classifications of Party Ideology pp. 22-41

Michael Herrmann and Holger Döring

An Improved Method of Automated Nonparametric Content Analysis for Social Science pp. 42-58

Connor T. Jerzak, Gary King and Anton Strezhnev

Cross-Domain Topic Classification for Political Texts pp. 59-80

Moritz Osnabrügge, Elliott Ash and Massimo Morelli

Human Rights Violations in Space: Assessing the External Validity of Machine-Geocoded versus Human-Geocoded Data pp. 81-97

Logan Stundal, Benjamin E. Bagozzi, John R. Freeman and Jennifer S. Holmes

Identification of Preferences in Forced-Choice Conjoint Experiments: Reassessing the Quantity of Interest pp. 98-112

Flavien Ganter

Polls, Context, and Time: A Dynamic Hierarchical Bayesian Forecasting Model for US Senate Elections pp. 113-133

Yehu Chen, Roman Garnett and Jacob M. Montgomery

A Bias-Corrected Estimator for the Crosswise Model with Inattentive Respondents pp. 134-148

Yuki Atsusaka and Randolph T. Stevenson

Listwise Deletion in High Dimensions pp. 149-155

J. Sophia Wang and P. M. Aronow

Proportionally Less Difficult?: Reevaluating Keele’s “Proportionally Difficult” pp. 156-163

Shawna K. Metzger