• Publications
  • Influence
How to Analyze Political Attention with Minimal Assumptions and Costs
We describe a topic model for legislative speech, a statistical learning model that uses word choices to infer topical categories covered in a set of speeches and to identify the topic of specific speeches. Expand
  • 458
  • 52
  • PDF
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 aExpand
  • 923
  • 42
MCMCpack: Markov chain Monte Carlo in R
We introduce MCMCpack, an R package that contains functions to perform Bayesian inference using posterior simulation for a number of statistical models, a general purpose Metropolis sampling algorithm, and tools for visualization. Expand
  • 485
  • 34
  • PDF
Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict
We introduce and emphasize several new approaches based on Bayesian shrinkage and regularization for selecting words that capture partisan, or other, differences in political speech and for evaluating the relative importance of those words. Expand
  • 345
  • 26
  • PDF
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 ofExpand
  • 132
  • 20
  • PDF
Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses
  • K. Quinn
  • Computer Science
  • Political Analysis
  • 1 November 2004
We propose a measurement model that is appropriate for multivariate responses that have some continuous and some ordinal components. Expand
  • 179
  • 11
  • PDF
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 propertiesExpand
  • 118
  • 9
  • PDF
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, weExpand
  • 104
  • 5
  • PDF
Voter Choice in Multi-Party Democracies: A Test of Competing Theories and Models
We contrast social-structural theories of voting behavior with spatial theories of voting behavior to explain voter choice in the Netherlands and Great Britain. We hypothesize that voting behavior isExpand
  • 129
  • 5
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 overExpand
  • 90
  • 5
  • PDF