Political Analysis

Papers
(The median citation count of Political Analysis is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data268
Out of One, Many: Using Language Models to Simulate Human Samples98
Does Conjoint Analysis Mitigate Social Desirability Bias?95
Achieving Statistical Significance with Control Variables and Without Transparency73
Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution57
Measuring the Rural Continuum in Political Science40
Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data31
The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning29
Reducing Model Misspecification and Bias in the Estimation of Interactions26
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI26
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect25
Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable25
Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures24
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds24
A Bayesian Alternative to Synthetic Control for Comparative Case Studies23
Do Name-Based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment23
How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning22
Assessing Data Quality: An Approach and An Application22
The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach21
Cross-Domain Topic Classification for Political Texts19
Identification of Preferences in Forced-Choice Conjoint Experiments: Reassessing the Quantity of Interest18
Understanding, Choosing, and Unifying Multilevel and Fixed Effect Approaches18
Gerrymandering and Compactness: Implementation Flexibility and Abuse17
Sentiment is Not Stance: Target-Aware Opinion Classification for Political Text Analysis16
Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text15
Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys15
Generalized Full Matching14
Machine Learning Predictions as Regression Covariates14
Optimizing the Measurement of Sexism in Political Surveys14
Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives13
Estimating and Using Individual Marginal Component Effects from Conjoint Experiments13
How Much Does the Cardinal Treatment of Ordinal Variables Matter? An Empirical Investigation12
An Improved Method of Automated Nonparametric Content Analysis for Social Science11
Implementing Partisan Symmetry: Problems and Paradoxes11
Spikes and Variance: Using Google Trends to Detect and Forecast Protests11
Placebo Selection in Survey Experiments: An Agnostic Approach11
Party Positions from Wikipedia Classifications of Party Ideology10
Equivalence Testing for Regression Discontinuity Designs10
Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model10
Eliciting Beliefs as Distributions in Online Surveys9
A General Approach to Measuring Electoral Competitiveness for Parties and Governments9
Learning from Null Effects: A Bottom-Up Approach9
Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism8
A Bias-Corrected Estimator for the Crosswise Model with Inattentive Respondents8
Mapping Political Communities: A Statistical Analysis of Lobbying Networks in Legislative Politics8
Multiple Hypothesis Testing in Conjoint Analysis7
Acquiescence Bias Inflates Estimates of Conspiratorial Beliefs and Political Misperceptions7
Balance as a Pre-Estimation Test for Time Series Analysis7
How to Get Better Survey Data More Efficiently7
Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset7
The Misreporting Trade-Off Between List Experiments and Direct Questions in Practice: Partition Validation Evidence from Two Countries7
Partisan Dislocation: A Precinct-Level Measure of Representation and Gerrymandering6
Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study6
The Consequences of Model Misspecification for the Estimation of Nonlinear Interaction Effects6
Adaptive Fuzzy String Matching: How to Merge Datasets with Only One (Messy) Identifying Field6
Getting Time Right: Using Cox Models and Probabilities to Interpret Binary Panel Data6
Predicted Probabilities and Inference with Multinomial Logit6
Why We Should Use the Gini Coefficient to Assess Punctuated Equilibrium Theory6
The Effect of Fox News on Health Behavior during COVID-195
The Causal Effect of Polls on Turnout Intention: A Local Randomization Regression Discontinuity Approach5
Minmaxing of Bayesian Improved Surname Geocoding and Geography Level Ups in Predicting Race5
Lagged Outcomes, Lagged Predictors, and Lagged Errors: A Clarification on Common Factors5
Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings5
Multilevel Calibration Weighting for Survey Data5
What Makes Party Systems Different? A Principal Component Analysis of 17 Advanced Democracies 1970–20135
Measuring Ethnic Bias: Can Misattribution-Based Tools from Social Psychology Reveal Group Biases that Economics Games Cannot?5
Multi-Label Prediction for Political Text-as-Data5
Spillover Effects in the Presence of Unobserved Networks5
The Wald Test of Common Factors in Spatial Model Specification Search Strategies4
Sensitivity Analysis for Survey Weights4
When Correlation Is Not Enough: Validating Populism Scores from Supervised Machine-Learning Models4
Synthetic Replacements for Human Survey Data? The Perils of Large Language Models4
It’s All in the Name: A Character-Based Approach to Infer Religion4
Measuring Swing Voters with a Supervised Machine Learning Ensemble4
Ends Against the Middle: Measuring Latent Traits when Opposites Respond the Same Way for Antithetical Reasons4
A Text-As-Data Approach for Using Open-Ended Responses as Manipulation Checks4
Relatio: Text Semantics Capture Political and Economic Narratives4
On Finetuning Large Language Models4
Using Multiple Pretreatment Periods to Improve Difference-in-Differences and Staggered Adoption Designs4
Multiple Ideal Points: Revealed Preferences in Different Domains4
Topic Classification for Political Texts with Pretrained Language Models4
Quantifying Bias from Measurable and Unmeasurable Confounders Across Three Domains of Individual Determinants of Political Preferences4
Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction4
Generalized Kernel Regularized Least Squares3
Human Rights Violations in Space: Assessing the External Validity of Machine-Geocoded versus Human-Geocoded Data3
Blocks as Geographic Discontinuities: The Effect of Polling-Place Assignment on Voting3
Publication Biases in Replication Studies3
Hierarchically Regularized Entropy Balancing3
How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on 67 Replicated Studies3
Trading Liberties: Estimating COVID-19 Policy Preferences from Conjoint Data3
Polls, Context, and Time: A Dynamic Hierarchical Bayesian Forecasting Model for US Senate Elections3
A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence3
The Ideologies of Organized Interests and Amicus Curiae Briefs: Large-Scale, Social Network Imputation of Ideal Points3
Diplomatic Relations in a Virtual World3
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