一般政策干预的无条件效应

内生二元处理的无条件政策效应的识别与估计：一种无条件MTE方法

Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: An Unconditional MTE Approach

本文提出基于影响函数的无条件边际处理效应方法，用于识别和估计内生二元处理的无条件政策效应，并引入UNIQUE估计量，实证研究学费补贴对工资分位数的影响。

Interpreting Unconditional Quantile Regression with Conditional Independence

This note provides additional interpretation for the counterfactual outcome distribution and corresponding unconditional quantile "effects" defined and estimated by Firpo, Fortin, and Lemieux (2009) and Chernozhukov, Fernández-Val, and Melly (2013). With conditional independence of the policy variable of interest, these methods estimate the policy effect for certain types of policies, but not others. In particular, they estimate the effect of a policy change that itself satisfies conditional independence.

一般干预的结果条件化偏效应的识别与推断

Identification and inference of outcome conditioned partial effects of general interventions

本文提出结果条件化部分政策效应（OCPPE）这一新分布因果量，用于衡量一般反事实干预对结果分布不同分位数区间个体的平均效应，推导了其半参数有效界，提出高效去偏估计量及均匀推断程序，并应用于禁烟政策对婴儿出生体重影响的分析。

损失厌恶与政策干预的福利排序

Loss aversion and the welfare ranking of policy interventions

本文提出损失厌恶敏感支配标准及非参数检验方法，用于在个体损失厌恶下对政策干预进行福利排序，并应用于美国收入支持项目比较。

Unconditional Quantile Regression with High Dimensional Data

This paper considers estimation and inference for heterogeneous counterfactual effects with high-dimensional data. We propose a novel robust score for debiased estimation of the unconditional quantile regression (Firpo, Fortin, and Lemieux, 2009) as a measure of heterogeneous counterfactual marginal effects. We propose a multiplier bootstrap inference and develop asymptotic theories to guarantee the size control in large sample. Simulation studies support our theories. Applying the proposed method to Job Corps survey data, we find that a policy which counterfactually extends the duration of ex…

无条件分位数效应的敏感性分析

Sensitivity Analysis in Unconditional Quantile Effects

本文提出了一种分析反事实政策对无条件分位数影响的框架，通过分位数分解前沿进行敏感性分析，评估选择偏差对不同分位数的影响。