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estimation methods from the treatment evaluation literature we separate the direct effect of textbooks from their peer effect …
estimation methods from the treatment evaluation literature we separate the direct effect of textbooks from their peer effect …
estimation methods from the treatment evaluation literature we separate the direct effect of textbooks from their peer effect …
estimation methods from the treatment evaluation literature we separate the direct effect of textbooks from their peer effect …
estimation methods from the treatment evaluation literature we separate the direct effect of textbooks from their peer effect …
In a treatment effect model with unconfoundedness, treatment assignments are not only independent of potential outcomes given the covariates, but also given the propensity score alone. Despite this powerful dimension reduction property, adjusting for the propensity score is known to lead to an...
In nonparametric instrumental variables estimation, the mapping that identifies the function of interest, g say, is discontinuous and must be regularised (that is, modified) to make consistent estimation possible. The amount of modification is contolled by a regularisation parameter. The optimal...
In a treatment effect model with unconfoundedness, treatment assignments are not only independent of potential outcomes given the covariates, but also given the propensity score alone. Despite this powerful dimension reduction property, adjusting for the propensity score is known to lead to an...