20,241 to 20,250 of 20,315 Results
Oct 28, 2012 -
Replication data for: Appropriators not Position Takers: The Distorting Effects of Electoral Incentives on Congressional Representation
Plain Text - 45.9 MB -
MD5: 21839859ce2f89e318d343f6d4fc15f1
This contains the data for the replication file |
Unknown - 10.0 KB -
MD5: ccd13b2f6e2eddf1cf4ec8cb3e26c5d3
Data/code for experiment 1 |
Unknown - 1.8 KB -
MD5: 21765a3ccd24cf6ae89884be31d476a5
Data/code for experiment 2 |
Unknown - 3.3 KB -
MD5: 4b8625a0dace1f6d66f8aeb323710a24
Data/code for experiment 3 |
Oct 28, 2012 -
Replication data for: Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups
Plain Text - 30.2 KB -
MD5: e01ef19d4acff9f97c51055d8368122b
Replication script |
Oct 28, 2012 -
Replication data for: How many countries for multilevel modeling? A comparison of Frequentist and Bayesian approaches.
Tabular Data - 1.2 MB - 21 Variables, 10777 Observations - UNF:5:XyGItBjR3K+whHxkVW3djw==
Data file (combined micro and macro data) used in Application section. Stata format |
Oct 28, 2012 -
Replication data for: How many countries for multilevel modeling? A comparison of Frequentist and Bayesian approaches.
Stata Syntax - 1.1 KB -
MD5: f019c6b56801d2af3584756acfc866ce
Stata do file generating data (or use uploaded data.dta file) |
Oct 28, 2012 -
Replication data for: How many countries for multilevel modeling? A comparison of Frequentist and Bayesian approaches.
Plain Text - 797 B -
MD5: d9784f359116f1145bd67af72f1c5d91
Macrodata |
Oct 28, 2012 -
Replication data for: How many countries for multilevel modeling? A comparison of Frequentist and Bayesian approaches.
Stata Syntax - 179 B -
MD5: 0ca650eda6c66468c066be0415e5df7c
Stata do file, example section, hierarchical model via ML |
Oct 28, 2012 -
Replication data for: How many countries for multilevel modeling? A comparison of Frequentist and Bayesian approaches.
Plain Text - 2.2 KB -
MD5: acc32ae010c860ee68cda7baded3b94a
R script, example section, hierarchical model via MCMC. Creates JAGS code and runs it |