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... |
Jan 20, 2009 -
Replication data for: Lawmaking and Roll Calls
Adobe PDF - 86.4 KB -
MD5: 1bfaf1583b32611d2d75e45e9ae6780b
Appendix for this study |
Jan 20, 2009 -
Replication data for: Lawmaking and Roll Calls
Adobe PDF - 71.0 KB -
MD5: 5596e16d91fdbca69bcc11d73c7e3557
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==
Agency Preference Estimates (Multi-rater item response, no covariates) |
Unknown - 2.2 KB -
MD5: a370c58c871d16606603389617765f25
WinBUGS code for Multirater Model |
Plain Text - 7.3 KB -
MD5: 45d8af547835f9ea87c97d96486fb7ee
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
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ZIP Archive - 9.3 KB -
MD5: 2beafef1ea994a11d5451404d0c3f6c1
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
Addendum: Unreported Results from this study |