541 to 550 of 586 Results
Larry M. Bartels, 2010, "Replication data for: Panel Effects in the American National Election Studies", https://doi.org/10.7910/DVN/HPWSNE, Harvard Dataverse, V1, UNF:3:X7gcoeLRafoyjhEdmeZfzg== [fileUNF]
Parallel panel and fresh cross-section samples in recent National Election Study surveys provide valuable leverage for assessing the magnitude of biases in statistical analyses of survey data due to panel attrition and panel conditioning. My analyses employing a variety of typical regression models suggest that substantial panel biases are likely t... |
Jeffrey B. Lewis; Gary King, 2010, "Replication data for: No Evidence on Directional Vs. Proximity Voting", https://doi.org/10.7910/DVN/TS0UJQ, Harvard Dataverse, V1
The directional and proximity models offer dramatically different theories for how voters make decisions and fundamentally divergent views of the supposed microfoundations on which vast bodies of literature in theoretical rational choice and empirical political behavior have been built. We demonstrate here that the empirical tests in the large and... |
Patrick T. Brandt; John T. Williams, 2010, "Replication data for: A Linear Poisson Autoregressive Model: The Poissson AR(p) Model", https://doi.org/10.7910/DVN/O4PJRG, Harvard Dataverse, V1
Time series of event counts are common in political science and other social science applications. Presently, there are few satisfactory methods for identifying the dynamics in such data and accounting for the dynamic processes in event counts regression. We address this issue by building on earlier work for persistent event counts in the Poisson e... |
Dean Lacy, 2010, "Replication data for: Nonseparable Preferences, Measurement Error, and Unstable Survey Responses", https://doi.org/10.7910/DVN/5TYA0H, Harvard Dataverse, V1
A person has nonseparable preferences when her preference on an issue depends on the outcome of other issues. A model of survey responses in which preferences are measured with error implies that responses will change depending on the order of questions and vary over time when respondents have nonseparable preferences. Results from two survey exper... |
Simon Jackman, 2010, "Replication data for: Multidimensional Analysis of Roll Call Data via Bayesian Simulation: Identification, Estimation, Inference, and Model Checking", https://doi.org/10.7910/DVN/H3XPCI, Harvard Dataverse, V1
Vote-specific parameters are often by-products of roll call analysis, the primary goal being the measurement of legislators’ ideal points. But these vote-specific parameters are more important in higher-dimensional settings: prior restrictions on vote parameters help identify the model, and researchers often have prior beliefs about the nature of t... |
Harvey D. Palmer; Raymond M. Duch, 2010, "Replication data for: Do Surveys Provide Representative or Whimsical Assessments of the Economy", https://doi.org/10.7910/DVN/RXPLJ6, Harvard Dataverse, V1
We argue that survey responses to economic evaluation questions exhibit instability and can be affected by fairly trivial changes in questionnaire wording. Our analyses make three empirical contributions to this area of survey research. First, we demonstrate that within the course of the interview there is considerable instability in economic evalu... |
Joshua D. Clinton; Adam Meirowitz, 2010, "Replication data for: Agenda Constrained Legislator Ideal Points and the Spatial Voting Model", https://doi.org/10.7910/DVN/AIVBZQ, Harvard Dataverse, V1
Existing preference estimation procedures do not incorporate the full structure of the spatial model of voting, as they fail to use the sequential nature of the agenda. In the maximum likelihood framework, the consequences of this omission may be far-reaching. First, information useful for the identification of the model is neglected. Specifically,... |
Keith T. Poole, 2010, "Replication data for: The Geometry of Multidimensional Quadratic Utility in Models of Parliamentary Roll Call Voting", https://doi.org/10.7910/DVN/MEQCZU, Harvard Dataverse, V1
The purpose of this paper is to show how the geometry of the quadratic utility function in the standard spatial model of choice can be exploited to estimate a model of parliamentary roll call voting. In a standard spatial model of parliamentary roll call voting, the legislator votes for the policy outcome corresponding to Yea if her utility for Yea... |
Lawrence S. Rothenberg; Mitchell S. Sanders, 2010, "Replication data for: Reply to "Shirking in the Contemporary Congress: A Reappraisal"", https://doi.org/10.7910/DVN/BUNHD4, Harvard Dataverse, V1
In adding a fixed-effects component to our original model, Carson et al. (2004) suggest that our findings of shirking by departing legislators are spurious. While we might debate whether we require Congress-specific effects for our analysis, we will adopt another approach here. We show that properly incorporating fixed effects using a heteroskedast... |
Michael Bailey, 2010, "Replication data for: Ideal Point Estimation with a Small Number of Votes: A Random-Effects Approach", https://doi.org/10.7910/DVN/OV2MQZ, Harvard Dataverse, V1
Many conventional ideal point estimation techniques are inappropriate when only a limited number of votes are available. This paper presents a covariate-based random-effects Bayesian approach that allows scholars to estimate ideal points based on fewer votes than required for fixed-effects models. Using covariates brings more information to bear on... |
