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Full-Text Articles in Law
Racially Polarized Voting, Kevin Quinn, Christopher Elmendorf, Marisa Abrajano
Racially Polarized Voting, Kevin Quinn, Christopher Elmendorf, Marisa Abrajano
Kevin M. Quinn
No abstract provided.
Litigating State Interests: Attorneys General As Amici, Kevin Quinn
Litigating State Interests: Attorneys General As Amici, Kevin Quinn
Kevin M. Quinn
No abstract provided.
Tracking The Dynamic Evolution Of Participant Salience In A Discussion, Kevin Quinn
Tracking The Dynamic Evolution Of Participant Salience In A Discussion, Kevin Quinn
Kevin M. Quinn
We introduce a technique for analyzing the temporal evolution of the salience of par- ticipants in a discussion. Our method can dynamically track how the relative impor- tance of speakers evolve over time using graph based techniques. Speaker salience is computed based on the eigenvector cen- trality in a graph representation of partici- pants in a discussion. Two participants in a discussion are linked with an edge if they use similar rhetoric. The method is dy- namic in the sense that the graph evolves over time to capture the evolution inher- ent to the participants salience. We used our method …
On The Perils Of Drawing Inferences About Supreme Court Justices From Their First Few Years Of Service, Lee Epstein, Kevin Quinn, Andrew Martin, Jeffrey Segal
On The Perils Of Drawing Inferences About Supreme Court Justices From Their First Few Years Of Service, Lee Epstein, Kevin Quinn, Andrew Martin, Jeffrey Segal
Kevin M. Quinn
No abstract provided.
Mavenrank: Identifying Influential Members Of The Us Senate Using Lexical Centrality, Anthony Fader, Dragomir Radev, Michael Crespin, Burt Monroe, Kevin Quinn, Michael Colaresi
Mavenrank: Identifying Influential Members Of The Us Senate Using Lexical Centrality, Anthony Fader, Dragomir Radev, Michael Crespin, Burt Monroe, Kevin Quinn, Michael Colaresi
Kevin M. Quinn
We introduce a technique for identifying the most salient participants in a discussion. Our method, MavenRank is based on lexical cen- trality: a random walk is performed on a graph in which each node is a participant in the discussion and an edge links two partici- pants who use similar rhetoric. As a test, we used MavenRank to identify the most influ- ential members of the US Senate using data from the US Congressional Record and used committee ranking to evaluate the output. Our results show that MavenRank scores are largely driven by committee status in most topics, but can …
Assessing Preference Change On The Us Supreme Court, Andrew Martin, Kevin Quinn
Assessing Preference Change On The Us Supreme Court, Andrew Martin, Kevin Quinn
Kevin M. Quinn
The foundation upon which accounts of policy-motivated behavior of Supreme Court justices are built consists of assumptions about the policy preferences of the justices. To date, most scholars have assumed that the policy positions of Supreme Court justices remain consistent throughout the course of their careers and most measures of judicial ideology — such as Segal and Cover scores — are time invariant. On its face, this assumption is reasonable; Supreme Court justices serve with life tenure and are typically appointed after serving in other political or judicial roles. However, it is also possible that the worldviews, and thus the …
Bayesian Factor Analysis For Mixed Ordinal And Continuous Responses, Kevin Quinn
Bayesian Factor Analysis For Mixed Ordinal And Continuous Responses, Kevin Quinn
Kevin M. Quinn
Many situations exist in which a latent construct has both ordinal and continuous indicators. This presents a problem for the applied researcher because standard measurement models are not designed to accommodate mixed ordinal and continuous data. I address this problem by formulating a measurement model that is appropriate for such mixed multivariate responses. This model unifies standard normal theory factor analysis and item response theory models for ordinal data. I detail a Markov chain Monte Carlo algorithm for model fitting. I apply the model to cross-national data on political-economic risk and find that the model works well. Software for fitting …
Dynamic Ideal Point Estimation Via Markov Chain Monte Carlo For The U.S. Supreme Court, 1953-1999", Kevin Quinn, Andrew Martin
Dynamic Ideal Point Estimation Via Markov Chain Monte Carlo For The U.S. Supreme Court, 1953-1999", Kevin Quinn, Andrew Martin
Kevin M. Quinn
No abstract provided.
An Integrated Computational Model Of Multiparty Electoral Competition, Kevin Quinn, Andrew Martin
An Integrated Computational Model Of Multiparty Electoral Competition, Kevin Quinn, Andrew Martin
Kevin M. Quinn
Most theoretic models of multiparty electoral competition make the assumption that party leaders are motivated to maximize their vote share or seat share. In plurality-rule systems this is a sensible assumption. However, in proportional representation systems, this assumption is questionable since the ability to make public policy is not strictly increasing in vote shares or seat shares. We present a theoretic model in which party leaders choose electoral declarations with an eye toward the expected policy outcome of the coalition bargaining game induced by the party declarations and the parties’ beliefs about citizens’ voting behavior. To test this model, we …
Vote Choice In A Multi-Party Democracy: A Test Of Competing Theories And Models, Kevin Quinn, Andrew Martin, Andrew Whitford
Vote Choice In A Multi-Party Democracy: A Test Of Competing Theories And Models, Kevin Quinn, Andrew Martin, Andrew Whitford
Kevin M. Quinn
No abstract provided.
Multiparty Electoral Competition In The Netherlands And Germany: A Model Based On Multinomial Probit, Kevin Quinn, Norman Schofeld, Andrew Martin, Andrew Whitford
Multiparty Electoral Competition In The Netherlands And Germany: A Model Based On Multinomial Probit, Kevin Quinn, Norman Schofeld, Andrew Martin, Andrew Whitford
Kevin M. Quinn
A typical assumption of electoral models of party competition is that parties adopt policy positions so as to maximize expected vote share. Here we use Euro-barometer survey data and European elite-study data from 1979 for the Netherlands and Germany to construct a stochastic model of voter response, based on multinomial probit estimation. For each of these countries, we estimate a pure spatial electoral voting model and a joint spatial model. The latter model also includes individual voter and demographic characteristics. The pure spatial models for the two countries quite accurately described the electoral response as a stochastic function of party …
Using Computational Methods To Perform Counterfactual Analyses Of Formal Theories, Kevin Quinn, Andrew Martin
Using Computational Methods To Perform Counterfactual Analyses Of Formal Theories, Kevin Quinn, Andrew Martin
Kevin M. Quinn
Recently there has been an increase in the number of researchers who use rational choice models to explain single cases and rare events. Because of the small number of cases under study, these researchers must rely either explicitly or implicitly on counterfactual reasoning. This paper argues that computational methods provide a profitable means of carrying out rigorous counterfactual analysis. The authors advocate robustness analysis as one important part of the counterfactual analysis of formal theories. Specifically, they evaluate the robustness of the behavioral assumptions of two formal models using various heuristic search algorithms and Markov chains. They find that Kuran's …