Varying impacts of letters of recommendation on college admissions
From MaRDI portal
Publication:6138603
DOI10.1214/23-aoas1740MaRDI QIDQ6138603
Jesse M. Rothstein, Avi Feller, Eli Ben-Michael
Publication date: 16 January 2024
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Cites Work
- For objective causal inference, design trumps analysis
- Model assisted survey sampling.
- Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion)
- Augmented minimax linear estimation
- Estimation of partially conditional average treatment effect by double kernel-covariate balancing
- College performance predictions and the SAT
- Generalized Raking Procedures in Survey Sampling
- Balancing Covariates via Propensity Score Weighting
- Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions
- Quasi-oracle estimation of heterogeneous treatment effects
- Kernel Balancing: A flexible non-parametric weighting procedure for estimating causal effects
- Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations
- Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer
- Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
- The Augmented Synthetic Control Method
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