A theory of statistical inference for matching methods in causal research
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
A Theory of Statistical Inference for Matching Methods in Causal Research
S Iacus, G King, G Porro - Political Analysis, 2019 - econpapers.repec.org
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
A Theory of Statistical Inference for Matching Methods in Causal Research
SM Iacus, G King, G Porro - Political Analysis, 2019 - ideas.repec.org
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
[PDF][PDF] A Theory of Statistical Inference for Matching Methods in Causal Research
SM Iacus, G King, G Porro - 2019 - core.ac.uk
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
A theory of statistical inference for matching methods in causal research
SM Iacus, G King, G Porro - POLITICAL ANALYSIS, 2019 - air.unimi.it
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
A Theory of Statistical Inference for Matching Methods in Causal Research
SM Iacus, G King, G Porro - Political Analysis, 2019 - search.proquest.com
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
A Theory of Statistical Inference for Matching Methods in Causal Research
SM Iacus, G King, G Porro - Political Analysis, 2018 - dash.harvard.edu
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
A Theory of Statistical Inference for Matching Methods in Causal Research.
SM Iacus, G King, G Porro - Political Analysis, 2019 - search.ebscohost.com
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
A Theory of Statistical Inference for Matching Methods in Causal Research
SM Iacus, G King, G Porro - Political Analysis, 2019 - JSTOR
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
A theory of statistical inference for matching methods in causal research
SM Iacus, G King, G Porro - POLITICAL ANALYSIS, 2019 - irinsubria.uninsubria.it
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …