Political Analysis

1999 - 2024

From Cambridge University Press
Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
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Volume 28, issue 4, 2020

Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality pp. 445-468

Reagan Mozer, Luke Miratrix, Aaron Kaufman and L. Jason Anastasopoulos

Shadowing as a Tool for Studying Political Elites pp. 469-486

Jennifer Bussell

Residual Balancing: A Method of Constructing Weights for Marginal Structural Models pp. 487-506

Xiang Zhou and Geoffrey T. Wodtke

Voter Registration Databases and MRP: Toward the Use of Large-Scale Databases in Public Opinion Research pp. 507-531

Yair Ghitza and Andrew Gelman

Active Learning Approaches for Labeling Text: Review and Assessment of the Performance of Active Learning Approaches pp. 532-551

Blake Miller, Fridolin Linder and Walter R. Mebane

Logical Constraints: The Limitations of QCA in Social Science Research pp. 552-568

Kevin A. Clarke

Volume 28, issue 3, 2020

The Neglected Role and Variability of Party Intercepts in the Spatial Valence Approach pp. 303-317

Ingrid Mauerer

Corrected Standard Errors with Clustered Data pp. 318-339

John E. Jackson

Capturing Rationalization Bias and Differential Item Functioning: A Unified Bayesian Scaling Approach pp. 340-355

Jørgen Bølstad

A Method to Audit the Assignment of Registered Voters to Districts and Precincts pp. 356-371

Brian Amos and Michael P. McDonald

Reviving Legislative Avenues for Gerrymandering Reform with a Flexible, Automated Tool pp. 372-394

James Saxon

Using Word Order in Political Text Classification with Long Short-term Memory Models pp. 395-411

Charles Chang and Michael Masterson

A General Model of Author “Style” with Application to the UK House of Commons, 1935–2018 pp. 412-434

Leslie Huang, Patrick O. Perry and Arthur Spirling

Profiling Compliers and Noncompliers for Instrumental-Variable Analysis pp. 435-444

Moritz Marbach and Dominik Hangartner

Volume 28, issue 2, 2020

Discrete Choice Data with Unobserved Heterogeneity: A Conditional Binary Quantile Model pp. 147-167

Xiao Lu

Measuring the Competitiveness of Elections pp. 168-185

Gary W. Cox, Jon Fiva and Daniel M. Smith

Unexpected Event during Survey Design: Promise and Pitfalls for Causal Inference pp. 186-206

Jordi Muñoz, Albert Falcó-Gimeno and Enrique Hernández

Measuring Subgroup Preferences in Conjoint Experiments pp. 207-221

Thomas J. Leeper, Sara B. Hobolt and James Tilley

Comparative Causal Mediation and Relaxing the Assumption of No Mediator–Outcome Confounding: An Application to International Law and Audience Costs pp. 222-243

Kirk Bansak

Crowdsourcing Reliable Local Data pp. 244-262

Jane Lawrence Sumner, Emily M. Farris and Mirya R. Holman

Multi-modes for Detecting Experimental Measurement Error pp. 263-283

Raymond Duch, Denise Laroze, Thomas Robinson and Pablo Beramendi

Measurement Error and the Specification of the Weights Matrix in Spatial Regression Models pp. 284-292

Garrett N. Vande Kamp

Stacked Regression and Poststratification pp. 293-301

Joseph T. Ornstein

Volume 28, issue 1, 2020

The Sensitivity of Spatial Regression Models to Network Misspecification pp. 1-19

Sebastian Juhl

Modeling Context-Dependent Latent Effect Heterogeneity pp. 20-46

Diogo Ferrari

Predicting Partisan Responsiveness: A Probabilistic Text Mining Time-Series Approach pp. 47-64

Lenka Bustikova, David S. Siroky, Saud Alashri and Sultan Alzahrani

Ecological Regression with Partial Identification pp. 65-86

Wenxin Jiang, Gary King, Allen Schmaltz and Martin A. Tanner

A Timely Intervention: Tracking the Changing Meanings of Political Concepts with Word Vectors pp. 87-111

Emma Rodman

Word Embeddings for the Analysis of Ideological Placement in Parliamentary Corpora pp. 112-133

Ludovic Rheault and Christopher Cochrane

How to Assess Power Law Behavior Using Stochastic Process Methods: A Note of Caution pp. 134-138

Matthias Fatke

Estimating Grouped Data Models with a Binary-Dependent Variable and Fixed Effects via a Logit versus a Linear Probability Model: The Impact of Dropped Units pp. 139-145

Nathaniel Beck

How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice – CORRIGENDUM pp. 146-146

Jens Hainmueller, Jonathan Mummolo and Yiqing Xu

Volume 27, issue 4, 2019

A Local Structure Graph Model: Modeling Formation of Network Edges as a Function of Other Edges pp. 397-414

Olga V. Chyzh and Mark S. Kaiser

A Bayesian Split Population Survival Model for Duration Data With Misclassified Failure Events pp. 415-434

Benjamin E. Bagozzi, Minnie M. Joo, Bomin Kim and Bumba Mukherjee

Why Propensity Scores Should Not Be Used for Matching pp. 435-454

Gary King and Richard Nielsen

List Experiments with Measurement Error pp. 455-480

Graeme Blair, Winston Chou and Kosuke Imai

Hierarchical Item Response Models for Analyzing Public Opinion pp. 481-502

Xiang Zhou

Exploring the Dynamics of Latent Variable Models pp. 503-517

Kevin Reuning, Michael R. Kenwick and Christopher J. Fariss

Measuring Polarization with Text Analysis: Evidence from the UK House of Commons, 1811–2015 pp. 518-539

Niels D. Goet

Relaxing the No Liars Assumption in List Experiment Analyses pp. 540-555

Yimeng Li

Predicting Network Events to Assess Goodness of Fit of Relational Event Models pp. 556-571

Laurence Brandenberger

A Note on Dropping Experimental Subjects who Fail a Manipulation Check pp. 572-589

Peter M. Aronow, Jonathon Baron and Lauren Pinson

Bias in Self-reported Voting and How it Distorts Turnout Models: Disentangling Nonresponse Bias and Overreporting Among Danish Voters pp. 590-598

Jens Olav Dahlgaard, Jonas Hedegaard Hansen, Kasper M. Hansen and Yosef Bhatti

Comparative Research is Harder Than We Thought: Regional Differences in Experts’ Understanding of Electoral Integrity Questions pp. 599-604

Bruno Castanho Silva and Levente Littvay

A Bracketing Relationship between Difference-in-Differences and Lagged-Dependent-Variable Adjustment pp. 605-615

Peng Ding and Fan Li

Volume 27, issue 3, 2019

Measuring Geographic Distribution for Political Research pp. 263-280

Dong Wook Lee and Melissa Rogers

A Bounds Approach to Inference Using the Long Run Multiplier pp. 281-301

Clayton Webb, Suzanna Linn and Matthew Lebo

Measurement Uncertainty in Spatial Models: A Bayesian Dynamic Measurement Model pp. 302-319

Sebastian Juhl

What Can Instrumental Variables Tell Us About Nonresponse In Household Surveys and Political Polls? pp. 320-338

Coady Wing

Testing the Validity of Automatic Speech Recognition for Political Text Analysis pp. 339-359

Sven-Oliver Proksch, Christopher Wratil and Jens Wäckerle

A Regression-with-Residuals Method for Estimating Controlled Direct Effects pp. 360-369

Xiang Zhou and Geoffrey T. Wodtke

Can nonexperts really emulate statistical learning methods? A comment on “The accuracy, fairness, and limits of predicting recidivism” pp. 370-380

Kirk Bansak

Improving Supreme Court Forecasting Using Boosted Decision Trees pp. 381-387

Aaron Kaufman, Peter Kraft and Maya Sen

Dynamic Ecological Inference for Time-Varying Population Distributions Based on Sparse, Irregular, and Noisy Marginal Data pp. 388-396

Devin Caughey and Mallory Wang

Volume 27, issue 2, 2019

Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS pp. 127-144

Pete Mohanty and Robert Shaffer

Paying Attention to Inattentive Survey Respondents pp. 145-162

R. Michael Alvarez, Lonna Rae Atkeson, Ines Levin and Yimeng Li

How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice pp. 163-192

Jens Hainmueller, Jonathan Mummolo and Yiqing Xu

Why Does the American National Election Study Overestimate Voter Turnout? pp. 193-207

Simon Jackman and Bradley Spahn

Inferential Approaches for Network Analysis: AMEN for Latent Factor Models pp. 208-222

Shahryar Minhas, Peter D. Hoff and Michael D. Ward

Machine Learning Human Rights and Wrongs: How the Successes and Failures of Supervised Learning Algorithms Can Inform the Debate About Information Effects pp. 223-230

Kevin T. Greene, Baekkwan Park and Michael Colaresi

Modeling Asymmetric Relationships from Symmetric Networks pp. 231-236

Arturas Rozenas, Shahryar Minhas and John Ahlquist

Emotional Arousal Predicts Voting on the U.S. Supreme Court pp. 237-243

Bryce J. Dietrich, Ryan D. Enos and Maya Sen

Waking Up the Golden Dawn: Does Exposure to the Refugee Crisis Increase Support for Extreme-Right Parties? pp. 244-254

Elias Dinas, Konstantinos Matakos, Dimitrios Xefteris and Dominik Hangartner

Forecasting Elections in Multiparty Systems: A Bayesian Approach Combining Polls and Fundamentals pp. 255-262

Lukas F. Stoetzer, Marcel Neunhoeffer, Thomas Gschwend, Simon Munzert and Sebastian Sternberg

Volume 27, issue 1, 2019

Estimating Smooth Country–Year Panels of Public Opinion pp. 1-20

Christopher Claassen

Not so Harmless After All: The Fixed-Effects Model pp. 21-45

Thomas Plümper and Vera E. Troeger

A Theory of Statistical Inference for Matching Methods in Causal Research pp. 46-68

Stefano Iacus, Gary King and Giuseppe Porro

A Multinomial Framework for Ideal Point Estimation pp. 69-89

Max Goplerud

The External Validity of College Student Subject Pools in Experimental Research: A Cross-Sample Comparison of Treatment Effect Heterogeneity pp. 90-97

Danielle L. Lupton

How Cross-Validation Can Go Wrong and What to Do About It pp. 101-106

Marcel Neunhoeffer and Sebastian Sternberg

Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data: A Comment pp. 107-110

Yu Wang

Seeing the Forest through the Trees pp. 111-113

David Alan Muchlinski, David Siroky, Jingrui He and Matthew Adam Kocher

Insufficiencies in Data Material: A Replication Analysis of Muchlinski, Siroky, He, and Kocher (2016) pp. 114-118

Simon Heuberger

Replications in Context: A Framework for Evaluating New Methods in Quantitative Political Science pp. 119-125

Jeffrey J. Harden, Anand E. Sokhey and Hannah Wilson