1 to 10 of 13 Results
Joshua D. Clinton, 2009, "Replication data for: Lawmaking and Roll Calls", https://doi.org/10.7910/DVN/S3NH2W, Harvard Dataverse, V1
Replication data and code forthcoming The ability to generate theories of lawmaking has not been matched by an ability to evaluate the success of these theories for explaining legislative reality. The principal problem in testing lawmaking theories is that many analysts use roll call votes -- or various measures based on roll call votes -- when, in... |
Jan 20, 2009
Joshua D. Clinton; David E. Lewis, 2009, "Replication data for: Expert Opinion, Agency Characteristics, and Agency Preferences", https://doi.org/10.7910/DVN/SKWAT9, Harvard Dataverse, V1, UNF:3:EtuToGR5j2htANDAwJSxTA== [fileUNF]
The study of bureaucracies and their relationship to political actors is central to understanding the policy process in the United States. Our study of this aspect of American politics is hindered by the fact that theories of agency behavior, effectiveness and control often require measures of administrative agencies' policy preferences. Appropriat... |
Joshua D. Clinton; Scott Ashworth, 2009, "Replication data for: Does Advertising Exposure Affect Turnout", https://doi.org/10.7910/DVN/2PUZJU, Harvard Dataverse, V1, UNF:3:9ZdUuVgIuX0KhFtLXageqw== [fileUNF]
We identify an exogenous source of variation in exposure to campaign advertising in the 2000 Presidential election, based on battleground state residence. If campaign advertising exposure makes a potential voter significantly more likely to vote, then we should see significantly greater turnout in battleground states. We do not. This result is robu... |
Jan 20, 2009
Joshua D. Clinton, 2009, "Replication data for: Representation in Congress: Constituents and Roll Calls in the 106th House", https://doi.org/10.7910/DVN/VA41Y7, Harvard Dataverse, V1, UNF:3:t+/VddUfFADKtOKo6VsarQ== [fileUNF]
This study examines the extent to which constituency and sub-constituency preferences are reflected in roll call voting in the 106th House. Aggregating 100,814 randomly selected respondents to measure sub-constituency preferences provides an unprecedented ability to measure sub-constituency preferences in the House. Looking at the relationship over... |
Jan 20, 2009
Joshua D. Clinton; Scott Ashworth; Adam Meirowitz; Kris Ramsay, 2009, "Replication data for: Design, Inference, and the Strategic Logic", https://doi.org/10.7910/DVN/B9OL3N, Harvard Dataverse, V1
Replication data and code forthcoming In "The Strategic Logic of Suicide Terrorism," Robert Pape presents an analysis of his suicide terrorism data. He uses the data to draw inferences about how territorial occupation and religious extremism affect the decision of terrorist groups to use suicide tactics. We show that the data are incapable of suppo... |
Jan 20, 2009
Joshua D. Clinton; Adam Meirowitz, 2009, "Replication data for: Integrating Voting Theory and Roll-Call Analysis: A Framework", https://doi.org/10.7910/DVN/GP9QJD, Harvard Dataverse, V1
Replication data and code forthcoming Scholars of legislative studies typically use ideal point estimates from scaling procedures to test theories of legislative politics. We contend that theory and methods may be better integrated by directly incorporating \textit{maintained} and \textit{to be tested hypotheses} in the statistical model used to es... |
Jan 20, 2009
Joshua D. Clinton; John S. Lapinski, 2009, "Replication data for: An Experimental Study of the 2000 Presidential Election", https://doi.org/10.7910/DVN/WOEHP1, Harvard Dataverse, V1
Replication data and code forthcoming Scholars disagree whether negative advertising demobilizes or stimulates the electorate. We use an experiment with over 10,200 eligible voters to evaluate the two leading hypotheses of negative political advertising. We extend the analysis to examine whether advertising differentially impacts the turnout of vot... |
Jan 20, 2009
Joshua D. Clinton; Adam Meirowitz, 2009, "Replication data for: Agenda Constrained Legislator Ideal Points and the Spatial Voting Model", https://doi.org/10.7910/DVN/TT2OOM, Harvard Dataverse, V1
Replication data and code forthcoming 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... |
Jan 20, 2009
Joshua D. Clinton; John S. Lapinski, 2009, "Replication data for: Measuring Significant Legislation, 1877 to 1948", https://doi.org/10.7910/DVN/2DBNA9, Harvard Dataverse, V1
Replication data and code forthcoming In this study, we provide a measure of legislative output that can be used to characterize outcomes of the lawmaking process across time. We summarize our efforts to identify the 21,741 public statutes passed between 1877 (45th Congress) and 1948 (80th Congress). In so doing we collect both statute-level descri... |
Jan 20, 2009
Joshua Clinton; Adam Meirowitz, 2009, "Replication data for: Testing Accounts of Legislative Strategic Voting: The Compromise", https://doi.org/10.7910/DVN/B66URN, Harvard Dataverse, V1
Replication data and code forthcoming A difficult yet prevalent problem in legislative politics is how to assess explanations when observable actions may not represent true (and unobserved) legislator preferences. We present a method for analyzing the validity of theoretical/historical accounts that unifies theory, history and measurement. We argue... |
