Journal

Political Analysis

ISSN 1047-1987 · Cambridge University Press

OpenAlex S29331042

Published here

141 counted works of 149 linked

YearTitleAcademicsSources
2006+ The Dangers of Extreme Counterfactuals+ Gary King GS
Forthcoming.‘‘Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference.’’ in progress Gary King GS
G. Porro (2012)“Causal Inference Without Balance Checking: Coarsened Exact Matching.” Gary King GS
Introduction to the Virtual Issue: Past and Future Research Agenda on Causal Inference Kosuke Imai GS
2026 An Instrumental Variables Approach for More Robust Emotion Experiments in progress Amanda Weiss CV OA
2026 On the Foundations of the Design-Based Ap- proach P. M. Aronow CV OA GS
2025 A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate Kosuke Imai CV OA GS
2025 Categorizing topics versus inferring attitudes: a theory and method for analyzing open-ended survey responses. William R. Hobbs CV OA GS
2025 Crowdsourced Adaptive Surveys Yamil Ricardo Velez CV OA GS
2025 Meaning Beyond Numbers: Introducing the Plot Staircase to Measure Graphical Preferences Talbot M. Andrews; Markus Prior CV OA GS
2025 Measuring Distances in High Dimensional Spaces Why Average Group Vector Comparisons Exhibit Bias, And What to Do About it Arthur Spirling; William R. Hobbs CV OA GS
2025 Nationally Representative, Locally Misaligned: The Biases of Generative Artificial Intelligence in Neighborhood Perception Melissa Lee Sands CV OA GS
2025 Priming bias versus post-treatment bias in experimental designs Kosuke Imai CV OA GS
2024 A Partisan Solution to Partisan Gerrymandering: The Define Combine Procedure Kevin DeLuca CV OA GS
2024 Multilanguage Word Embeddings For Social Science: Estimation, Inference and Validation Resources for 157 Languages Arthur Spirling CV OA GS
2024 Sensitivity analysis for survey weights Melody Huang GS
2024 Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis Kosuke Imai CV OA GS
2023 Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study Kosuke Imai CV OA GS
2023 Blocks as Geographic Discontinuities: The Effect of Polling Place Assignment on Voting Marc Meredith CV OA GS
2023 Dyadic Clustering in International Relations P. M. Aronow CV OA GS
2023 Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset Gary King CV OA GS
2023 The Essential Role of Statistical Inference in Evaluating Electoral Systems: A Response to DeFord et al. Gary King CV OA GS
2023 Using Conjoint Experiments to Analyze Elections: The Essential Role of the Average Marginal Component Effect Daniel J. Hopkins CV GS
2023 Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting Kevin DeLuca CV OA GS
2022 An Improved Method of Automated Nonparametric Content Analysis for Social Science Gary King CV OA GS
2022 Experimental Design and Statistical Inference for Conjoint Analysis: The Essential Role of Population Distribution Kosuke Imai CV
2022 Listwise Deletion in High Dimensions P. M. Aronow CV OA GS
2022 Rejoinder: Concluding Remarks on Scholarly Communications Gary King CV OA GS
2021 Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution Kosuke Imai OA GS
2021 On the use of two-way fixed effects regression models for causal inference with panel data related record Kosuke Imai GS
2021 On the Use of Two-way Fixed Effects Regression Models for Causal Inference with Panel Data Kosuke Imai CV OA GS
2021 Placebo Selection In Survey Experiments: An Agnostic Approach. Yamil Ricardo Velez CV OA GS
2021 Spikes and Variance: Using Google Trends to Detect and Forecast Protests. Erik Wibbels CV OA GS
2020 Active Learning Approaches for Labeling Text: Review and Assessment of the Performance of Active Learning Approaches Blake Miller CV OA
2020 A General Model of Author “Style” with Application to the UK House of Commons, 1935–2018 Arthur Spirling CV OA GS
2020 Measuring the Competitiveness of Elections Daniel M. Smith CV OA GS
2020 Voter registration databases and MRP: Toward the use of large scale databases in public opinion research Andrew Gelman CV OA GS
2019 A Note on Dropping Experimental Subjects who Fail a Manipulation Check P. M. Aronow CV OA GS
2019 A Theory of Statistical Inference for Matching Methods in Causal Research Gary King CV OA GS
2019 How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice. Jonathan Mummolo CV OA GS
2019 List Experiments with Measurement Error Kosuke Imai CV OA GS
2019 Why Propensity Scores Should Not Be Used for Matching Gary King CV OA GS
2018 A Note on Listwise Deletion versus Multiple Imputation Thomas B. Pepinsky CV OA GS
2018 Classification Accuracy as a Substantive Quantity of Interest: Measuring Polarization in Westminster Systems Arthur Spirling CV OA GS
2018 Comments on Single-Blind Reviewing from the Editorial Staff Daniel J. Hopkins GS
2018 EmotionalArousalPredictsVotingontheSupreme Court Ryan D. Enos CV
2018 Emotional Arousal Predicts Voting on the U.S. Supreme Court Ryan D. Enos OA GS
2018 Estimating ideal points from votes and text John Benedict Londregan GS
2018 Estimating Spatial Preferences from Votes and Text John Benedict Londregan OA GS
2018 Measuring Voters’ Multidimensional Policy Preferences with Conjoint Analysis: Application to Japan’s 2014 Election Daniel M. Smith CV OA GS
2018 Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It Arthur Spirling CV OA GS
2018 The Number of Choice Tasks and Survey Satisficing in Conjoint Experiments Daniel J. Hopkins CV GS
2017 Combining Double Sampling and Bounds to Address Non-ignorable Missing Outcomes in Randomized Experiments Alan S. Gerber; Donald P. Green CV OA GS
2017 Estimating heterogeneous treatment effects and the effects of heterogeneous treatments with ensemble methods Sean J. Westwood CV OA GS
2017 Sparse Estimation and Uncertainty with Application to Subgroup Analysis Dustin Tingley CV OA GS
2017 The Design of Field Experiments With Survey Outcomes: A Framework for Selecting More Efficient, Robust, and Ethical Designs Joshua Kalla CV OA GS
2016 Cause or Effect? Turnout in Hispanic Majority-Minority Districts Rocío Titiunik CV OA GS
2016 Coarsening bias: How instrumenting for coarsened treatments upwardly biases instrumental variable estimates John Marshall CV OA GS
2016 Estimating Heterogeneous Treatment Effects and the Effects of Heterogeneous Treatments with Ensemble Methods related record Sean J. Westwood GS
2016 Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Record Kosuke Imai CV OA GS
2016 Research Note: A More Powerful Test Statistic for Reasoning about Interference between Units P. M. Aronow CV OA GS
2016 Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-Recidivism Policies in Colombia Sarah Zukerman Daly CV OA GS
2016 The Influence of Emotion on Trust Dustin Tingley CV OA GS
2015 Cluster-Robust Variance Estimation for Dyadic Data P. M. Aronow CV OA GS
2015 Computer Assisted Text Analysis for Comparative Politics Dustin Tingley CV OA GS
2015 Estimating the Severity of the WikiLeaks US Diplomatic Cables Disclosure Arthur Spirling CV OA GS
2015 Explaining Systematic Bias and Nontransparency in US Social Security Administration Forecasts Gary King CV OA GS
2015 Fuzzy Sets on Shaky Ground? Parametric and Specification Sensitivity in fsQCA. Donghyun Danny Choi CV OA GS
2015 Geographic Boundaries as Regression Discontinuities Rocío Titiunik CV OA GS
2015 How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About It Gary King CV OA GS
2015 Measure for Measure: An Experimental Test of Online Political Media Exposure Andrew M. Guess CV OA GS
2015 Using the Predicted Responses from List Experiments as Explanatory Variables in Regression Models Kosuke Imai CV OA GS
2014 Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments Daniel J. Hopkins CV GS
2014 Does Survey Mode Still Matter? Findings from a 2010 Multi-Mode Comparison Stephen Daniel Ansolabehere CV OA
2014 Experiments to Reduce the Over-reporting of Voting: A Pipeline to the Truth Ismail K. White CV OA GS
2014 Measuring transparency related record James Raymond Vreeland GS
2014 Measuring Transparency James Raymond Vreeland CV OA GS
2014 Multiple imputation for continuous and categorical data: Comparing joint and conditional ap- proaches Andrew Gelman CV OA GS
2013 Asking About Numbers: Why and How Stephen Daniel Ansolabehere; Marc Meredith CV OA GS
2013 Beyond LATE: Estimation of the Average Treatment Effect with an Instrumental Variable Allison Carnegie; P. M. Aronow CV OA GS
2013 Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments Kosuke Imai CV OA GS
2013 Preregistration of studies and mock reports Andrew Gelman CV OA GS
2012 Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk Gregory Alain Huber CV OA GS
2012 Statistical Analysis of List Experiments Kosuke Imai CV OA GS
2012 Validation: What Big Data Reveals About Survey Misreporting and the Real Electorate Stephen Daniel Ansolabehere CV OA
2012 Vetoes, Bargaining, and Boundary Conditions Charles M. Cameron CV OA GS
2011 Causal Inference Without Balance Checking: Coarsened Exact Matching Gary King CV OA GS
2011 Estimation of Heterogeneous Treatment Effects from Randomized Experiments, with Application to the Optimal Planning of the Get-out-the-vote Campaign Kosuke Imai CV OA GS
2011 Introduction to the Virtual Issue: Past and Future Research Agenda on Causal Inference Kosuke Imai CV OA GS
2011 Statistical Analysis of Endorsement Experiments: Measuring Support for Militant Groups in Pakistan Kosuke Imai CV OA GS
2010 Baseline, Placebo, and Treatment: Efficient Estimation for Three-Group Experiments Alan S. Gerber; Donald P. Green CV OA GS
2010 Bayesian combination of state polls and election forecasts Andrew Gelman CV OA GS
2010 Bayesian Model Averaging: Theoretical Developments and Practical Applications Brendan Nyhan CV OA GS
2010 Treatment, control, and placebo: Efficient estimation for three-group experiments in progress Donald P. Green; Alan S. Gerber GS
2009 A Comment on Diagnostic Tools for Counterfactual Inference Nicholas Sambanis CV OA GS
2009 Apportionment Cycles as Natural Experiments Marc Meredith CV OA GS
2009 Empirical versus Theoretical Claims about Extreme Counterfactuals: A Response Gary King CV OA GS
2009 Testing the Accuracy of Regression Discontinuity Analysis Using Experimental Benchmarks Donald P. Green; Alan S. Gerber CV OA GS
2009 The Microfoundations of Polarization. Matthew Levendusky CV OA GS
2009 The Society for Political Methodology Gary King GS
2008 Analysis of Cluster-Randomized Experiments: A Comparison of Alternative Estimation Approaches Donald P. Green CV OA GS
2008 Bayesian and Likelihood Ecological Inference for 2 × 2 Tables: An Incomplete Data Approach Kosuke Imai CV OA GS
2008 Bayesian and likelihood inference for 2× 2 ecological tables: an incomplete-data approach related record Kosuke Imai GS
2007 Bayesian Approaches for Limited Dependent Variable Change Point Problems Arthur Spirling CV OA GS
2007 Comparing Incomparable Survey Responses: New Tools for Anchoring Vignettes Gary King CV OA GS
2007 Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Gary King; Kosuke Imai CV OA GS
2007 UK OC OK? Interpreting Optimal Classification Scores for the U.K. House of Commons Arthur Spirling CV OA GS
2006 Ancillary Materials in Volume 14 Alan S. Gerber; Donald P. Green GS
2006 Comparing Experimental and Matching Methods using a Large-Scale Voter Mobilization Experiment Alan S. Gerber; Donald P. Green CV OA GS
2006 Institutional context, cognitive resources and party attachments across democracies (vol 13, pg 365, 2006) John D. Huber GS
2006 The Dangers of Extreme Counterfactuals Gary King CV OA GS
2005 Institutional context, cognitive resources and party attachments across democracies John D. Huber CV OA GS
2005 Parties in elections, parties in government, and partisan bias Adam Meirowitz CV OA GS
2005 Practical issues in implementing and understanding Bayesian ideal point estimation Andrew Gelman CV OA GS
2005 Two-stage regression and multilevel modeling: a commentary Andrew Gelman CV OA GS
2004 Bayesian multilevel estimation with poststratification: state-level estimates from national polls Andrew Gelman CV OA GS
2004 Political Learning from Rare Events: Poisson Inference, Fiscal Constraints, and the Lifetime of Bureaus Daniel Paul Carpenter CV GS
2003 A Consensus on Second Stage Analyses in Ecological Inference Models Gary King CV OA GS
2003 Analyzing Second Stage Ecological Regressions Gary King CV OA GS
2003 Integrating roll call analysis and voting theory: A framework Adam Meirowitz CV OA GS
2003 Roll Calls, Party Labels, and Elections Michael M. Ting; James M. Snyder, Jr. CV OA GS
2002 A Fast, Easy, and Efficient Estimator for Multiparty Electoral Data Gary King CV OA GS
2002 Another Look at the Measurement of Political Knowledge Jason Barabas CV OA GS
2002 A Practical Statistical Model for Multiparty Electoral Data Gary King GS
2002 A Statistical Model of Bilateral Cooperation James Raymond Vreeland CV OA GS
2002 Estimating Dynamic Panel Models in Political Science Gregory J. Wawro CV OA GS
2002 Experimental Methodology in Political Science ROSE McDERMOTT CV
2002 Interpreting the Coefficient of Party Influence: Comment on Krehbiel James M. Snyder, Jr. CV OA GS
2002 Isolating Spatial Autocorrelation, Aggregation Bias, and Distributional Violations in Ecological Inference Gary King CV OA GS
2002 Reconciling Individual and Aggregate Evidence Concerning Partisan Stability: Applying Time-Series Models to Panel Survey Data Donald P. Green CV OA GS
2002 The Downstream Benefits of Experimentation Alan S. Gerber; Donald P. Green CV OA GS
2002 The Experimental Method in Political Science ROSE McDERMOTT CV OA
2001 Agenda constrained legislator ideal Points and the spatial voting model Adam Meirowitz CV OA GS
2001 Aggregation Among Binary, Count, and Duration Models: Estimating the Same Quantities from Different Levels of Data Gary King CV OA GS
2001 Logistic Regression in Rare Data Events ‘ related record Gary King GS
2001 Logistic Regression in Rare Events Data Gary King CV OA GS
2001 Nonseparable Preferences, Measurement Error, and Unstable Survey Responses Dean Lacy CV OA
2001 Party Labels, Roll-Call Votes, and Elections James M. Snyder, Jr. GS
2001 Testing for Publication Bias in Political Science Donald P. Green; Alan S. Gerber CV OA GS
2000 Estimating Legislators’ Preferred Points. John Benedict Londregan CV OA GS
2000 The Time to Give: PAC Motivations and Electoral Timing Nolan McCarty CV OA GS
1999 No Evidence on Directional vs. Proximity Voting Gary King CV OA GS
1998 An Empirical Spatial Model of Congressional Campaigns Nolan McCarty CV OA GS
1996 Some Remarks on the ‘Generalized Event Count’ Distribution. John Benedict Londregan CV OA GS
1996 The Generalization in the Generalized Event Count Model, With Comments on Achen, Amato, and Londregan Gary King CV OA GS
1995 A Correction for an Underdispersed Event Count Probability Distribution Gary King CV OA GS
1993 Issues and the Dynamics of Party Identification: A Methodological Critique Donald P. Green CV OA GS
1991 On Political Methodology Gary King CV OA GS
1991 The Effects of Measurement Error on Two-Stage, Least Squares Estimates Donald P. Green CV OA GS