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1 to 10 of 105 Results
Jan 20, 2009
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...
Adobe PDF - 86.4 KB - MD5: 1bfaf1583b32611d2d75e45e9ae6780b
1. Documentation
Appendix for this study
Adobe PDF - 71.0 KB - MD5: 5596e16d91fdbca69bcc11d73c7e3557
1. Documentation
Proof for footnote 14 claim
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...
Tabular Data - 8.4 KB - 5 Variables, 82 Observations - UNF:3:EtuToGR5j2htANDAwJSxTA==
1. Data
Agency Preference Estimates (Multi-rater item response, no covariates)
Unknown - 2.2 KB - MD5: a370c58c871d16606603389617765f25
2. Supplementary File
WinBUGS code for Multirater Model
Plain Text - 7.3 KB - MD5: 45d8af547835f9ea87c97d96486fb7ee
1. Data
Complex data file for Multirater WinBUGS Model Agency Preference Estimates (Multi-rater item response with covariates) WinBUGS code for Multirater Covariate Models Data for Multirater Covariate Models
ZIP Archive - 9.3 KB - MD5: 2beafef1ea994a11d5451404d0c3f6c1
1. Data
Data files in various original file formats
Jan 20, 2009
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...
Adobe PDF - 83.8 KB - MD5: 46b0bd53049e236b6f7dbfb69119a2f5
1. Documentation
Addendum: Unreported Results from this study
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