551 to 560 of 586 Results
Suzanna De Boef; Jim Granato, 2010, "Replication data for: Testing for Cointegrating Relationships with Near-Integrated Data", https://doi.org/10.7910/DVN/GCFLIJ, Harvard Dataverse, V1
Testing theories about political change requires analysts to make assumptions about the memory of their time series. Applied analyses are often based on inferences that time series are integrated and cointegrated. Typically analyses rest on Dickey–Fuller pretests for unit roots and a test for cointegration based on the Engle–Granger two-step method... |
Samuel Merrill; James Adams, 2010, "Replication data for: Computing Nash Equilibria in Probabalistic, Multiparty Spatial Models with Nonpolicy Components", https://doi.org/10.7910/DVN/Z4QIW2, Harvard Dataverse, V1
Although there exist extensive results concerning equilibria in spatial models of twoparty elections with probabilistic voting, we know far less about equilibria in multiparty elections—i.e., under what conditions will equilibria exist, and what are the characteristics of equilibrium configurations? We derive conditions that guarantee the existence... |
Marco R. Steenbergen, 2010, "Replication data for: Item Similarity in Scale Analysis", https://doi.org/10.7910/DVN/DMOMCF, Harvard Dataverse, V1
A statistic—the similarity coefficient—is developed for assessing the property that a set of scale items measures one and only one construct. This statistic is rooted in an explicit measurement model and is flexible enough to be used in exploratory scale analyses, even in small samples. Methods for analyzing similarity coefficients are described an... |
Simon Jackman, 2010, "Replication data for: Estimation and Inference Are Missing Data Problems: Unifying Social Science Statistics via Bayesian Simulation", https://doi.org/10.7910/DVN/SEAXTK, Harvard Dataverse, V1
Bayesian simulation is increasingly exploited in the social sciences for estimation and inference of model parameters. But an especially useful (if often overlooked) feature of Bayesian simulation is that it can be used to estimate any function of model parameters, including “auxiliary” quantities such as goodness-of-fit statistics, predicted value... |
Jeffrey B. Lewis, 2010, "Replication data for: Estimating Voter Preference Distributions from Individual-Level Voting Data", https://doi.org/10.7910/DVN/5GUVZ3, Harvard Dataverse, V1
This paper presents a method for inferring the distribution of voter ideal points on a single dimension from individual-level binary choice data. The statistical model and estimation technique draw heavily on the psychometric literature on test taking and, in particular, on the work of Bock and Aitkin (1981) and are similar to several recent method... |
Suzanna De Boef, 2010, "Replication data for: Modeling Equilibrium Relationships: Error Correction Models with Strongly Autoregressive Data", https://doi.org/10.7910/DVN/SEEUWA, Harvard Dataverse, V1
Political scientists often argue that political processes move together in the long run. Examples include partisanship and government approval, conflict and cooperation among countries, public policy sentiment and policy activity, economic evaluations and economic conditions, and taxing and spending. Error correction models and cointegrating relati... |
Mitchell S. Sanders, 2010, "Replication data for: Uncertainty and Turnout", https://doi.org/10.7910/DVN/ZUXL7C, Harvard Dataverse, V1
This article develops a model that simultaneously considers individual turnout and vote choice while also accounting for uncertainty about candidates. The theoretical development of this model implies that the effects of uncertainty on turnout vary with the strength of individual preferences. Application of the model to individual choice in the 199... |
Philip Paolino, 2010, "Replication data for: Maximum Likelihood Estimation of Models with Beta-Distributed Depedent Variables", https://doi.org/10.7910/DVN/HUXDGD, Harvard Dataverse, V1
Research in political science is often concerned with modeling dependent variables that are proportions. Proportions are relevant in a wide variety of substantive areas, including elections, the bureaucracy, and interest groups. Yet because most researchers rely upon an approach, OLS, that does not recognize key aspects of proportions, the conclusi... |
Jamie L. Carson; Michael H. Crespin; Jeffery A. Jenkins; Ryan J. Vander Wielen, 2010, "Replication data for: Shirking in the Contemporary Congress: A Reappraisal", https://doi.org/10.7910/DVN/NP9NZO, Harvard Dataverse, V1, UNF:5:flZQShvobB2JFbHp+W50xw== [fileUNF]
This paper replicates the findings that appeared in the article "Severing the Electoral Connection: Shirking in the Contemporary Congress," published in the American Journal of Political Science (44:316–325), in which Lawrence Rothenberg and Mitchell Sanders incorporated a new research design and, contrary to all previous studies, found evidence of... |
Keith T. Poole, 2010, "Replication data for: Nonparametric Unfolding of Binary Choice Data", https://doi.org/10.7910/DVN/BYE2QL, Harvard Dataverse, V1
This paper shows a general nonparametric unfolding technique for maximizing the correct classification of binary choice or two-category data. The motivation for and the primary focus of the unfolding technique are parliamentary roll call voting data. However, the procedures that implement the unfolding also can be applied to the problem of unfoldin... |
