1 to 10 of 10 Results
Feb 1, 2015
Beger, Andreas; Dorff, Cassy L.; Ward, Michael D., 2015, "Replication data for: Irregular Leadership Changes in 2014: Forecasts using ensemble, split-population duration models", https://doi.org/10.7910/DVN/28942, Harvard Dataverse, V1, UNF:5:aIsdpBs1BCWr1Eh5QcZ3uA== [fileUNF]
Data on irregular leadership changes from 2001 to March 2014 for 150+ countries observed monthly. Includes structural variables and event data aggregations, as well as spatial lags of the latter. Go to https://github.com/andybega/ijf-ilc2014 for associated code. |
Feb 1, 2015 -
Replication data for: Irregular Leadership Changes in 2014: Forecasts using ensemble, split-population duration models
Tabular Data - 7.5 MB - 19 Variables, 26732 Observations - UNF:5:aIsdpBs1BCWr1Eh5QcZ3uA==
All theme/ensemble predictions for the training, calibration, test, and forecast periods. Everything. Optional. |
Feb 1, 2015 -
Replication data for: Irregular Leadership Changes in 2014: Forecasts using ensemble, split-population duration models
Unknown - 36.3 MB -
MD5: 64926c3feb4394677e6fe738b3064b38
Imputed and cleaned data for analysis. Required. |
Feb 1, 2015 -
Replication data for: Irregular Leadership Changes in 2014: Forecasts using ensemble, split-population duration models
Unknown - 37.6 MB -
MD5: 63a13da39006f396c848112a713df5ea
Country-month data on ILC from 1955 to 2014, with covariates from 2001 on. Required. |
Feb 1, 2015 -
Replication data for: Irregular Leadership Changes in 2014: Forecasts using ensemble, split-population duration models
Unknown - 97.7 MB -
MD5: 4a129081efa89d68ed17ee094f76c3b4
Saved theme model estimates, since these usually are the slowest part of the rep. script, optional. |
Sep 30, 2014
Beger, Andreas; Dorff, Cassy L.; Ward, Michael D., 2014, "Replication data for: Ensemble Forecasting of Irregular Leadership Change", https://doi.org/10.7910/DVN/27482, Harvard Dataverse, V2
Data on irregular leadership changes from 2001 to March 2014 for 150+ countries observed monthly. Includes structural variables and event data aggregations, as well as spatial lags of the latter. Go to https://github.com/andybega/rap-ensemble-forecasting for associated code. |
Unknown - 36.3 MB -
MD5: 64926c3feb4394677e6fe738b3064b38
Imputed and cleaned data for analysis. |
Unknown - 37.6 MB -
MD5: 63a13da39006f396c848112a713df5ea
Country-month data on ILC from 1955 to 2014, with covariates from 2001 on. |
Unknown - 97.7 MB -
MD5: 4a129081efa89d68ed17ee094f76c3b4
Split-population duration estimates for the seven theme models. |
Adobe PDF - 53.0 KB -
MD5: 7fdf4ac04ac7cbecd61ab121be478900
Replication instructions and documentation. |