Political Analysis

Papers
(The H4-Index of Political Analysis is 19. 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
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