OOIR: Observatory of International Research

Papers

(The median citation count of Political Analysis is 2. 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 2020-04-01 to 2024-04-01.)

Article	Citations
On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data	197
Does Conjoint Analysis Mitigate Social Desirability Bias?	69
Achieving Statistical Significance with Control Variables and Without Transparency	62
Automated Text Classification of News Articles: A Practical Guide	57
Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution	45
Out of One, Many: Using Language Models to Simulate Human Samples	41
Active Learning Approaches for Labeling Text: Review and Assessment of the Performance of Active Learning Approaches	32
Measuring the Rural Continuum in Political Science	31
Using Eye-Tracking to Understand Decision-Making in Conjoint Experiments	27
Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data	23
Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable	22
Do Name-Based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment	21
The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning	21
Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures	19
Reducing Model Misspecification and Bias in the Estimation of Interactions	18
A Bayesian Alternative to Synthetic Control for Comparative Case Studies	18
How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning	16
Assessing Data Quality: An Approach and An Application	16
Cross-Domain Topic Classification for Political Texts	16
The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach	16
Gerrymandering and Compactness: Implementation Flexibility and Abuse	15
Understanding, Choosing, and Unifying Multilevel and Fixed Effect Approaches	15
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds	15
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect	15
Measuring Discretion and Delegation in Legislative Texts: Methods and Application to US States	14

Optimizing the Measurement of Sexism in Political Surveys	12
Logical Constraints: The Limitations of QCA in Social Science Research	12
Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives	12
Implementing Partisan Symmetry: Problems and Paradoxes	11
Sentiment is Not Stance: Target-Aware Opinion Classification for Political Text Analysis	11
Machine Learning Predictions as Regression Covariates	11
How Much Does the Cardinal Treatment of Ordinal Variables Matter? An Empirical Investigation	11
Shadowing as a Tool for Studying Political Elites	10
Equivalence Testing for Regression Discontinuity Designs	10
Spikes and Variance: Using Google Trends to Detect and Forecast Protests	9
An Improved Method of Automated Nonparametric Content Analysis for Social Science	9
Estimating and Using Individual Marginal Component Effects from Conjoint Experiments	9
Party Positions from Wikipedia Classifications of Party Ideology	9
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI	9
Identification of Preferences in Forced-Choice Conjoint Experiments: Reassessing the Quantity of Interest	8
Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys	8
Eliciting Beliefs as Distributions in Online Surveys	8
A General Approach to Measuring Electoral Competitiveness for Parties and Governments	8
Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism	7
A Bias-Corrected Estimator for the Crosswise Model with Inattentive Respondents	7
How to Get Better Survey Data More Efficiently	7
Updating Bayesian(s): A Critical Evaluation of Bayesian Process Tracing	7
Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text	7
Mapping Political Communities: A Statistical Analysis of Lobbying Networks in Legislative Politics	7
Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset	7
Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model	7
Partisan Dislocation: A Precinct-Level Measure of Representation and Gerrymandering	6
Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study	6
Why We Should Use the Gini Coefficient to Assess Punctuated Equilibrium Theory	6
Placebo Selection in Survey Experiments: An Agnostic Approach	6
Predicted Probabilities and Inference with Multinomial Logit	6
Generalized Full Matching	6
The Misreporting Trade-Off Between List Experiments and Direct Questions in Practice: Partition Validation Evidence from Two Countries	6
Measuring Ethnic Bias: Can Misattribution-Based Tools from Social Psychology Reveal Group Biases that Economics Games Cannot?	5
Spillover Effects in the Presence of Unobserved Networks	5
Adaptive Fuzzy String Matching: How to Merge Datasets with Only One (Messy) Identifying Field	5
Getting Time Right: Using Cox Models and Probabilities to Interpret Binary Panel Data	5
The Consequences of Model Misspecification for the Estimation of Nonlinear Interaction Effects	5
Balance as a Pre-Estimation Test for Time Series Analysis	5
Multiple Hypothesis Testing in Conjoint Analysis	4
Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings	4
What Makes Party Systems Different? A Principal Component Analysis of 17 Advanced Democracies 1970–2013	4
The Causal Effect of Polls on Turnout Intention: A Local Randomization Regression Discontinuity Approach	4
The Wald Test of Common Factors in Spatial Model Specification Search Strategies	3
Multiple Ideal Points: Revealed Preferences in Different Domains	3
Acquiescence Bias Inflates Estimates of Conspiratorial Beliefs and Political Misperceptions	3
Multi-Label Prediction for Political Text-as-Data	3
Learning from Null Effects: A Bottom-Up Approach	3
Measuring Swing Voters with a Supervised Machine Learning Ensemble	3
Publication Biases in Replication Studies	3

Multilevel Calibration Weighting for Survey Data	3
Trading Liberties: Estimating COVID-19 Policy Preferences from Conjoint Data	3
Minmaxing of Bayesian Improved Surname Geocoding and Geography Level Ups in Predicting Race	3
A Text-As-Data Approach for Using Open-Ended Responses as Manipulation Checks	3
Lagged Outcomes, Lagged Predictors, and Lagged Errors: A Clarification on Common Factors	3
A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence	3
Diplomatic Relations in a Virtual World	3
On Finetuning Large Language Models	2
The Effect of Fox News on Health Behavior during COVID-19	2
Integrating Data Across Misaligned Spatial Units	2
Quantifying Bias from Measurable and Unmeasurable Confounders Across Three Domains of Individual Determinants of Political Preferences	2
Taking Distributions Seriously: On the Interpretation of the Estimates of Interactive Nonlinear Models	2
It’s All in the Name: A Character-Based Approach to Infer Religion	2
Ends Against the Middle: Measuring Latent Traits when Opposites Respond the Same Way for Antithetical Reasons	2
Human Rights Violations in Space: Assessing the External Validity of Machine-Geocoded versus Human-Geocoded Data	2
Hierarchically Regularized Entropy Balancing	2
Using Multiple Pretreatment Periods to Improve Difference-in-Differences and Staggered Adoption Designs	2
When Correlation Is Not Enough: Validating Populism Scores from Supervised Machine-Learning Models	2
Proportionally Less Difficult?: Reevaluating Keele’s “Proportionally Difficult”	2
Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction	2