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1 to 10 of 21 Results

Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Aug 20, 2014 - Gary King Dataverse Ho, Daniel E.; Imai, Kosuke; King, Gary; Stuart, Elizabeth A., 2007, "Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference", https://doi.org/10.7910/DVN/RWUY8G, Harvard Dataverse, V5, UNF:3:QV0mYCd8eV+mJgWDnYct5g== [fileUNF] Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other modeling assumptions, how can researchers ensure...
FDA-Carpenter.csv Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Plain Text - 28.0 KB - MD5: de9de832a4877ed7bc5bebf983f12572 2. Data Carpenter's data read by matchfda.R; selected variables from full data set, for table 1
FDA-carpenter.tab Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Tabular Data - 27.6 KB - 20 Variables, 408 Observations - UNF:3:sACwzEY0GubtQd7DR15xjQ== 2. Data Carpenter's data read by matchfda.R; selected variables from full data set, for table 1
fdadens.pdf Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Adobe PDF - 18.4 KB - MD5: 75b81ebf2926a0075136986785a9c057 3. Supplementary Information Figure 2 (FDA)
fdafigure.R Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Plain Text - 2.1 KB - MD5: fe5ccffde2e56b786e1b8eb4502374ce 3. Supplementary Information R program to create figure 2 (FDA)
fdatable.R Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Plain Text - 2.4 KB - MD5: 83f8c47538edccc6337c00d5e5733506 3. Supplementary Information R program to create the table 1 (FDA)
Figure1Data.tab Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Tabular Data - 1.8 KB - 3 Variables, 61 Observations - UNF:3:Cx0MS0pOjxPVmz14Za9VXg== 2. Data Data file for Figure 1
Figure1Data.txt Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Plain Text - 1.9 KB - MD5: 3e577dbead1c2537f53af10aab0f9f42 2. Data Data files for figure 1, text file format
Figure1.R Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Plain Text - 3.0 KB - MD5: 17888c8d22fb435079b4acf89eedfd07 3. Supplementary Information R program to create Figure 1
Figure1.Rdata Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference R Data - 2.2 KB - MD5: 5c30f0713ed4732402f3a297703f632b 2. Data Data files for figure 1, R file format

Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

Aug 20, 2014 - Gary King Dataverse

Ho, Daniel E.; Imai, Kosuke; King, Gary; Stuart, Elizabeth A., 2007, "Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference", https://doi.org/10.7910/DVN/RWUY8G, Harvard Dataverse, V5, UNF:3:QV0mYCd8eV+mJgWDnYct5g== [fileUNF]

Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other modeling assumptions, how can researchers ensure...

FDA-Carpenter.csv

Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

Plain Text - 28.0 KB -

2. Data

Carpenter's data read by matchfda.R; selected variables from full data set, for table 1

FDA-carpenter.tab

Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

Tabular Data - 27.6 KB - 20 Variables, 408 Observations -

2. Data

Carpenter's data read by matchfda.R; selected variables from full data set, for table 1

fdadens.pdf

Nov 27, 2007 - Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference