Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference
Although published works rarely include causal estimates from more than a few model
specifications, authors usually choose the presented estimates from numerous trial runs …
specifications, authors usually choose the presented estimates from numerous trial runs …
[PDF][PDF] Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
DE Ho, K Imai, G King, EA Stuart - Political Analysis, 2007 - scholar.harvard.edu
Political science research typically begins by first spending considerable time collecting,
correcting, recollecting, merging, and recoding data. When all the data are finally available …
correcting, recollecting, merging, and recoding data. When all the data are finally available …
[PDF][PDF] Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
DE Ho, K Imai, G King, EA Stuart - Political Analysis, 2007 - statpower.net
Political science research typically begins by first spending considerable time collecting,
correcting, recollecting, merging, and recoding data. When all the data are finally available …
correcting, recollecting, merging, and recoding data. When all the data are finally available …
Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference
DE Ho, K Imai, G King, EA Stuart - Political Analysis, 2007 - pure.johnshopkins.edu
Although published works rarely include causal estimates from more than a few model
specifications, authors usually choose the presented estimates from numerous trial runs …
specifications, authors usually choose the presented estimates from numerous trial runs …
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
DE Ho, K Imai, G King, EA Stuart - Political Analysis, 2007 - elibrary.ru
Although published works rarely include causal estimates from more than a few model
specifications, authors usually choose the presented estimates from numerous trial runs …
specifications, authors usually choose the presented estimates from numerous trial runs …
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
DE Ho, K Imai, G King, EA Stuart - Political Analysis, 2007 - econpapers.repec.org
Although published works rarely include causal estimates from more than a few model
specifications, authors usually choose the presented estimates from numerous trial runs …
specifications, authors usually choose the presented estimates from numerous trial runs …
[PDF][PDF] Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
DE Ho, K Imai, G King, EA Stuart - 2007 - Citeseer
Political science research typically begins by first spending considerable time collecting,
correcting, recollecting, merging, and recoding data. When all the data are finally available …
correcting, recollecting, merging, and recoding data. When all the data are finally available …
[PDF][PDF] Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
DE Ho, K Imai, G King, EA Stuart - Political Analysis, 2007 - gking.harvard.edu
Political science research typically begins by first spending considerable time collecting,
correcting, recollecting, merging, and recoding data. When all the data are finally available …
correcting, recollecting, merging, and recoding data. When all the data are finally available …
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
DE Ho, K Imai, G King, EA Stuart - Political Analysis, 2007 - ideas.repec.org
Although published works rarely include causal estimates from more than a few model
specifications, authors usually choose the presented estimates from numerous trial runs …
specifications, authors usually choose the presented estimates from numerous trial runs …
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
DE Ho, K Imai, G King, E Stuart - Political Analysis, 2007 - dash.harvard.edu
Although published works rarely include causal estimates from more than a few model
specifications, authors usually choose the presented estimates from numerous trial runs …
specifications, authors usually choose the presented estimates from numerous trial runs …