41 to 50 of 151 Results
Dec 15, 2008
Philip O. Paolino; Dean Lacy, 2008, "Replication data for: Downsian Voting and the Separation of Powers", https://doi.org/10.7910/DVN/OLQBCG, Harvard Dataverse, V1, UNF:3:zTHXKalOO/A0RzgHnQGZ7A== [fileUNF]
Voters, we hypothesize, base their choice of candidates in gubernatorial elections on the policy outcomes they expect from each candidate in government rather than on the personal policy positions of the candidates. Furthermore, voters' expectations about the relative influence of the governor in policymaking and the possibility of divided governme... |
ZIP Archive - 91.6 KB -
MD5: 0cd581bd92fff07bc27786817d92ec95
Zip file containing data for this study in original file format |
Plain Text - 770 B -
MD5: fe0882dcd19638acdfddc7bd32db6581
Readme file explaining contents of the zip file |
Plain Text - 13.7 KB -
MD5: c00b8ff16518bbb4ff549fd48cdf6a6e
An SST command file |
Plain Text - 114.8 KB -
MD5: 614865246e97b304ce618ad46b6ee869
An abridged ascii data file |
Plain Text - 52.7 KB -
MD5: 91e83c44e65d03563513e2adc6ccf862
The codebook for the data file |
Tabular Data - 210.8 KB - 94 Variables, 1001 Observations - UNF:3:zTHXKalOO/A0RzgHnQGZ7A==
The data file for the entire survey |
Dec 15, 2008
Philip O. Paolino, 2008, "Replication data for: Maximum Likelihood Estimation of Models with Beta-Distributed Dependent Variables", https://doi.org/10.7910/DVN/EY9PDZ, Harvard Dataverse, V1, UNF:3:mpAerg4BRYXkiWds+0ekhQ== [fileUNF]
Research in political science is often concerned with modeling dependent variables that are proportions. Proportions are relevant in a wide variety of substantive areas, including elections, the bureaucracy, and interest groups. Yet because most researchers rely upon an approach, OLS, that does not recognize key aspects of proportions, the conclusi... |
Dec 15, 2008 -
Replication data for: Maximum Likelihood Estimation of Models with Beta-Distributed Dependent Variables
Plain Text - 6.7 KB -
MD5: 23ea3d8d30ca8a42f834ae21b3d02ce4
GAUSS code for alternative beta MLE |
Dec 15, 2008 -
Replication data for: Maximum Likelihood Estimation of Models with Beta-Distributed Dependent Variables
Unknown - 5.4 KB -
MD5: 0d70e0dc99cc0d8a0aed7ce3eaec5d5e
GAUSS code for standard beta MLE |