High-dimensional model-assisted inference for treatment effects with multi-valued treatments [0.03%]
高维模型辅助的多值处理效应推断方法研究
Wenfu Xu,Zhiqiang Tan
Wenfu Xu
Consider estimation of average treatment effects with multi-valued treatments using augmented inverse probability weighted (IPW) estimators, depending on outcome regression and propensity score models in high-dimensional settings. These reg...
Jiawei Wen,Songshan Yang,Christina Dan Wang et al.
Jiawei Wen et al.
This paper is concerned with computational issues related to penalized quantile regression (PQR) with ultrahigh dimensional predictors. Various algorithms have been developed for PQR, but they become ineffective and/or infeasible in the pre...
Semiparametric approach to estimation of marginal mean effects and marginal quantile effects [0.03%]
半参数边际均值与分位数回归模型及其估计方法
Seong-Ho Lee,Yanyuan Ma,Elvezio Ronchetti
Seong-Ho Lee
James Heckman,Rodrigo Pinto
James Heckman
This paper examines the econometric causal model and the interpretation of empirical evidence based on thought experiments that was developed by Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two currently p...
Dealing with imperfect randomization: Inference for the highscope perry preschool program [0.03%]
应对随机化不足问题：Highscope Perry学前教育项目的统计推断
James Heckman,Rodrigo Pinto,Azeem M Shaikh
James Heckman
This paper considers the problem of making inferences about the effects of a program on multiple outcomes when the assignment of treatment status is imperfectly randomized. By imperfect randomization we mean that treatment status is reassig...
Fan Wang,Esteban Puentes,Jere Behrman et al.
Fan Wang et al.
Recent estimates are that about 150 million children under five years of age are stunted, with substantial negative consequences for their schooling, cognitive skills, health, and economic productivity. Therefore, understanding what determi...
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators [0.03%]
基于最少假设的双重机器学习估计器速率双稳健性检验方法
Lin Liu,Rajarshi Mukherjee,James M Robins
Lin Liu
The class of doubly robust (DR) functionals studied by Rotnitzky et al. (2021) is of central importance in economics and biostatistics. It strictly includes both (i) the class of mean-square continuous functionals that can be written as an ...
Jason Abrevaya
Jason Abrevaya
This paper considers estimation of linear fixed-effects models in which the dependent variable may be missing. For cross-sectional units with dependent variables missing, use of covariate information from all time periods can provide effici...
What is a standard error? [0.03%]
什么是标准误差？
Andrew Gelman
Andrew Gelman
Xuan Bi,Xiaotong Shen
Xuan Bi
Differential privacy is becoming one gold standard for protecting the privacy of publicly shared data. It has been widely used in social science, data science, public health, information technology, and the U.S. decennial census. Neverthele...