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  • Influence
How to Analyze Political Attention with Minimal Assumptions and Costs
Previous methods of analyzing the substance of political attention have had to make several restrictive assumptions or been prohibitively costly when applied to large-scale political texts. Here, we
Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999
At the heart of attitudinal and strategic explanations of judicial behavior is the assumption that justices have policy preferences. In this paper we employ Markov chain Monte Carlo methods to fit a
MCMCpack: Markov chain Monte Carlo in R
MCpack is introduced, an R package that contains functions to perform Bayesian inference using posterior simulation for a number of statistical models, and some useful utility functions are introduced.
Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict
A variety of techniques for selecting words that capture partisan, or other, differences in political speech and for evaluating the relative importance of those words are discussed and several new approaches based on Bayesian shrinkage and regularization are introduced.
Ideological Drift Among Supreme Court Justices: Who, When, and How Important?
I. INTRODUCTION When the U.S. Supreme Court invalidated the use of military commissions for enemy combatants in Hamdan v. Rumsfeld? the decision fueled more than a national debate over the powers of
Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses
  • K. Quinn
  • Economics
    Political Analysis
  • 1 November 2004
This model unifies standard normal theory factor analysis and item response theory models for ordinal data and applies to cross-national data on political-economic risk and finds that the model works well.
An Introduction to the Augmented Inverse Propensity Weighted Estimator
In this paper, we discuss an estimator for average treatment effects (ATEs) known as the augmented inverse propensity weighted (AIPW) estimator. This estimator has attractive theoretical properties
The Supreme Court Forecasting Project: Legal and Political Science Approaches to Predicting Supreme Court Decisionmaking
This Essay reports the results of an interdisciplinary project comparing political science and legal approaches to forecasting Supreme Court decisions. For every argued case during the 2002 Term, we
Competing Approaches to Predicting Supreme Court Decision Making
Political scientists and legal academics have long scrutinized the U.S. Supreme Court's work to understand what motivates the justices. Despite significant differences in methodology, both
Measuring Explicit Political Positions of Media
We amass a new, large-scale dataset of newspaper editorials that allows us to calculate fine-grained measures of the political positions of newspaper editorial pages. Collecting and classifying over