Quantile models are widely used across the natural and social sciences to analyze heterogeneous phenomena that conventional mean-based approaches often obscure. Yet, despite their growing importance in many disciplines, their adoption in political …
Estimates of sensitive questions from list experiments are often much less precise than desired. We address this well-known inefficiency problem by presenting an informative Bayesian approach that combines indirect measures with prior information. …
Leveraging recent advances in natural language processing, this chapter introduces techniques for analyzing legislative texts. It covers regular expressions, dictionary-based methods, supervised and unsupervised text classification methods, …