511 to 520 of 586 Results
Brian J. Gaines; Brian R. Sala, 2010, "Replication data for: A Further Look at Universalism and Partisanship in Congressional Roll Call Voting", https://doi.org/10.7910/DVN/CC0N21, Harvard Dataverse, V1
This note extends Melissa P. Collie’s “Universalism and the Parties in the U.S. House of Representatives, 1921–80,” American Journal of Political Science 32, 4 (November 1988): 865–883. Detecting a strongly negative correlation between the time series of universalism and partisanship in roll call votes for the 67th through 96th U.S. Houses, Collie... |
George A. Krause, 2010, "Replication data for: Testing for the Strong Form of Rational Expectations with Heterogeneously Informed Agents", https://doi.org/10.7910/DVN/T1IOUU, Harvard Dataverse, V1
In recent years, political scientists have tested for the existence of rational expectations (RE) using survey-based aggregate data on subjective economic perceptions. These tests suffer from several conceptual shortcomings of a nontrivial nature. In this study, the meaning of RE is clarified, and also a test for strong rational expectations (SRE)... |
Alan Gerber; Donald Green; David Nickerson, 2010, "Replication data for: Testing for Publication Bias in Political Science", https://doi.org/10.7910/DVN/DQC9KV, Harvard Dataverse, V1
If the publication decisions of journals are a function of the statistical significance of research findings, the published literature may suffer from “publication bias.” This paper describes a method for detecting publication bias. We point out that to achieve statistical significance, the effect size must be larger in small samples. If publicatio... |
Jennifer Hill; Hanspeter Kriesi, 2010, "Replication data for: Classification by Opinion Changing Behavior: A Mixture Model Approach", https://doi.org/10.7910/DVN/PXM0ES, Harvard Dataverse, V1
We illustrate the use of a class of statistical models, finite mixture models, that can be used to allow for differences in model parameterizations across groups, even in the absence of group labels. We also introduce a methodology for fitting these models, data augmentation. Neither finite mixture models nor data augmentation is routine in the wor... |
Barry C. Burden, 2010, "Replication data for: Voter Turnout and the National Election Studies", https://doi.org/10.7910/DVN/GB1ROX, Harvard Dataverse, V1
Though the overreporting of voter turnout in the National Election Study (NES) is widely known, this article shows that the problem has become increasingly severe. The gap between NES and official estimates of presidential election turnout has more than doubled in a nearly linear fashion, from 11 points in 1952 to 24 points in 1996. This occurred b... |
Michael Herron, 2010, "Replication data for: Interest Group Ratings and Regression Inconsistency", https://doi.org/10.7910/DVN/X8MGC3, Harvard Dataverse, V1
This article uses spatial voting theory to analyze the properties of linear regressions that employ interest group ratings as measures of legislator policy preferences. Such regressions, in general, yield inconsistent results. In particular, least-squares estimation of a bivariate regression which contains an interest group rating as a regressor pr... |
John Brehm, 2010, "Replication data for: Alternative Corrections for Sample Truncation: Applications to the 1988, 1990, and 1992 Senate Election Studies", https://doi.org/10.7910/DVN/3MFJMF, Harvard Dataverse, V1
High levels of nonresponse plague all three waves of the National Election Studies’ Senate Studies. Each of the studies failed to elicit interviews from close to one of every two selected sample persons, a rate far worse than the NES regular Pre- and Post-Election Studies. This paper addresses three interdependent problems: Given limited data about... |
Gary King; Langche Zeng, 2010, "Replication data for: Logistic Regression in Rare Events Data", https://doi.org/10.7910/DVN/SPAFJK, Harvard Dataverse, V1
We study rare events data, binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes, cases of political activism, or epidemiological infections) than zeros (“nonevents”). In many literatures, these variables have proven difficult to explain and predict, a problem that seems to have at least two sources.... |
Kenneth Benoit, 2010, "Replication data for: Which Electoral Formula Is the Most Proportional? A New Look with New Evidence", https://doi.org/10.7910/DVN/7QYM4J, Harvard Dataverse, V1
A ranking exists in electoral systems research of different electoral formulas—the mathematical functions governing the conversion of votes into legislative seats—in terms of both proportionality of seats and votes and favorability to the largest party. I reexamine this issue with new methods and new evidence, attempting to cross-validate previous... |
James E. Alt; Gary King; Curtis S. Signorino, 2010, "Replication data for: Aggregation Among Binary, Count, and Duration Models: Estimating the Same Quantities from Different Levels of Data", https://doi.org/10.7910/DVN/UDRSQ6, Harvard Dataverse, V1
Binary, count, and duration data all code discrete events occurring at points in time. Although a single data generation process can produce all of these three data types, the statistical literature is not very helpful in providing methods to estimate parameters of the same process from each. In fact, only a single theoretical process exists for wh... |
