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Found 4 papers, 0 papers with code
Forecasting with Feedback
Systematically biased forecasts are typically interpreted as evidence of forecasters' irrationality and/or asymmetric loss.
Treatment Effect Analysis for Pairs with Endogenous Treatment Takeup
We study causal inference in a setting in which units consisting of pairs of individuals (such as married couples) are assigned randomly to one of four categories: a treatment targeted at pair member A, a potentially different treatment targeted at pair member B, joint treatment, or no treatment.
Inference for ROC Curves Based on Estimated Predictive Indices
We provide a comprehensive theory of conducting in-sample statistical inference about receiver operating characteristic (ROC) curves that are based on predicted values from a first stage model with estimated parameters (such as a logit regression).
Estimation of Conditional Average Treatment Effects with High-Dimensional Data
In the first stage, the nuisance functions necessary for identifying CATE are estimated by machine learning methods, allowing the number of covariates to be comparable to or larger than the sample size.
