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Propensity Score–based Methods Versus MTE-based Methods in Causal Inference: Identification, Estimation, and Application
Xiang Zhou,
Yu Xie
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peer-review
24
Scopus citations
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Dive into the research topics of 'Propensity Score–based Methods Versus MTE-based Methods in Causal Inference: Identification, Estimation, and Application'. Together they form a unique fingerprint.
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Keyphrases
Causal Inference
100%
Effect-based Methods
100%
Propensity Score
100%
Marginal Treatment Effects
100%
Score-based Methods
71%
Treatment Effect
28%
Ignorability Assumption
28%
Social Sciences
14%
Behavioral Sciences
14%
Heckman
14%
Performance Estimation
14%
Economic Returns
14%
Counterfactual Outcome
14%
Returns to College
14%
Unobserved Confounders
14%
Identification Assumptions
14%
Outcome Effect
14%
National Longitudinal Survey of Youth
14%
Sorting Gain
14%
Mathematics
Treatment Effect
100%
Causal Inference
100%
Marginals
100%
Ignorability
33%
Observed Covariates
33%
Confounders
16%
Economics, Econometrics and Finance
Causality Analysis
100%
Propensity Score
100%
Instrumental Variables
14%
Psychology
Causal Inference
100%