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The Society for Political Methodology, the Political Methodology Section of the American Political Science Association, and the central web site for the political methodology community. The primary purpose of this site is to serve as the gateway to the Working Paper archive. There is also information on our Conference page covering our annual summer meetings held continuously for over twenty years. This site also serves as the gateway to our publications, including The Political Methodologist, our newsletter, and Political Analysis, the official journal of the section. Additionally, we house a collection of Syllabi for undergraduate and graduate courses in political methodology. Please direct questions to politicalanalysis@hss.caltech.edu.
Political Analysis
Studies: 156
Abstract:

This file contains all of the materials needed for replicating all of the analyses in the paper. It includes the raw data, the code for the estimators and figures, and the supplemental data used in the analysis with code for replicating the analyses.

hdl:1902.1/18183
11 downloads
Last Released: May 15, 2012
Replication data for: The Genealogy of Lawby Tom S. Clark; Benjamin Lauderdale
Abstract:

This file contains all of the materials for replicating all of the analyses in the paper. It includes the raw data, the code for the estimator and sampler, and the supplemental data used in the analysis with code for replicating the analyses.

hdl:1902.1/18176
2 downloads
Last Released: May 8, 2012
hdl:1902.1/17706
11 downloads
Last Released: Apr 20, 2012
hdl:1902.1/17924
3 downloads
Last Released: Apr 17, 2012
Abstract:

Replication data for Martin, 2012, "Testing Theories of Congressional-Presidential Interaction with Veto Override Rates"

hdl:1902.1/17923
9 downloads
Last Released: Apr 17, 2012
Abstract:

The relationship between a party's popular vote share and legislative seat share---its seats-votes swing ratio---is a key characteristic of democratic representation. This article introduces a general approach to estimating party-specific swing ratios in multiparty legislative elections, given results from only a single election. I estimate the joint density of party vote shares across districts using a finite mixture model for compositional data, then computationally evaluate this distribution to produce parties' expected change in legislative seats for plausible changes in their vote share. The method easily extends to systems with any number of parties, employing both majoritarian and proportional electoral rules. Applications to legislative elections in the U.S., U.K., Canada, and Botswana demonstrate how parties' swing ratios vary both within countries and over time, indicating that parties under majoritarian electoral rules are subject to unique and possibly divergent geographic-political constraints.

hdl:1902.1/17691
12 downloads
Last Released: Mar 8, 2012
Abstract:

Multivariate count models are rare in political science, despite the presence of many count time series. This article develops a new Bayesian Poisson vector autoregression (BaP-VAR) model that can characterize endogenous dynamic counts with no restrictions on the contemporaneous correlations. Impulse responses, decomposition of the forecast errors, and dynamic multiplier methods for the effects of exogenous covariate shocks are illustrated for the model. Two full illustrations of the model, its interpretations, and results are presented. The first example is a dynamic model that reanalyzes the patterns and predictors of superpower rivalry events. The second example applies the model to analyze the dynamics of transnational terrorist targeting decisions between 1968 and 2008. The latter example's results have direct implications for contemporary policy about terrorists' targeting that are both novel and innovative in the study of terrorism.

hdl:1902.1/17446
22 downloads + analyses
Last Released: Jan 17, 2012
Replication data for: Improving Predictions Using Ensemble Bayesian Model Averagingby Jacob M. Montgomery; Florian Hollenbach; Michael D. Ward
Abstract:

We present ensemble Bayesian model averaging (EBMA) and illustrate its ability to aid scholars in the social sciences to make more accurate forecasts of future events. In essence, EBMA improves prediction by pooling information from multiple forecast models to generate ensemble predictions similar to a weighted average of component forecasts. The weight assigned to each forecast is calibrated via its performance in some validation period. The aim is not to choose some “best” model, but rather to incorporate the insights and knowledge implicit in various forecasting efforts via statistical postprocessing. After presenting the method, we show that EBMA increases the accuracy of out-of-sample forecasts relative to component models in three applied examples: predicting the occurrence of insurgencies around the Pacific Rim, forecasting vote shares in U.S. presidential elections, and predicting the votes of U.S. Supreme Court Justices

hdl:1902.1/17286
10 downloads
Last Released: Jan 10, 2012
Abstract:

In recent years a consensus has developed that the conditional logit (CL) model is the most appropriate strategy for modeling government choice. In this paper, we reconsider this approach and make three methodological contributions. First, we employ a mixed logit with random coefficients that allows us to take account of unobserved heterogeneity in the government formation process and relax the independence of irrelevant alternatives (IIA) assumption. Second, we demonstrate that the procedure used in the literature to test the IIA assumption is biased against finding IIA violations. An improved testing procedure reveals clear evidence of IIA violations, indicating that the CL model is inappropriate. Third, we move beyond simply presenting the sign and significance of model coefficients, suggesting various strategies for interpreting the substantive influence of variables in models of government choice.

hdl:1902.1/17292
40 downloads + analyses
Last Released: Dec 27, 2011
hdl:1902.1/17220
10 downloads
Last Released: Dec 6, 2011