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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
2. Data
Zip file containing data for this study in original file format
Plain Text - 770 B - MD5: fe0882dcd19638acdfddc7bd32db6581
1. Documentation
Readme file explaining contents of the zip file
Plain Text - 13.7 KB - MD5: c00b8ff16518bbb4ff549fd48cdf6a6e
3. Supplementary File
An SST command file
Plain Text - 114.8 KB - MD5: 614865246e97b304ce618ad46b6ee869
2. Data
An abridged ascii data file
Plain Text - 52.7 KB - MD5: 91e83c44e65d03563513e2adc6ccf862
1. Documentation
The codebook for the data file
Tabular Data - 210.8 KB - 94 Variables, 1001 Observations - UNF:3:zTHXKalOO/A0RzgHnQGZ7A==
2. Data
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...
Plain Text - 6.7 KB - MD5: 23ea3d8d30ca8a42f834ae21b3d02ce4
3. Supplementary Program Files
GAUSS code for alternative beta MLE
Unknown - 5.4 KB - MD5: 0d70e0dc99cc0d8a0aed7ce3eaec5d5e
3. Supplementary Program Files
GAUSS code for standard beta MLE
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