Treatment effect calculations for encouragement and lottery email treatments.

Figshare2022-06-03 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Treatment_effect_calculations_for_encouragement_and_lottery_email_treatments_/19987162 数据链接链接失效反馈

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资源简介：

Treatment effect calculations for encouragement and lottery email treatments.

创建时间：

2022-06-03

DoubleML/multimodal_confounding

因果推断

多模态数据

该数据集是一个半合成的多模态混杂数据集，用于评估因果效应估计方法。数据集基于三个常用数据集（Diamonds、IMDB和CIFAR-10）生成，包含文本、图像和表格特征。数据集的目标是生成可信的混杂效应，使得处理效应的估计值通常小于0.5。数据集包含50,000个样本，分为训练集，并提供了多个特征字段，如结果变量Y、处理变量D_1、文本评论、情感标签、图像、价格、钻石特征等。数据集还包含一些用于基

Hugging Face2024-03-12 更新410

Replication Data for: Causal Inference with Interference and Noncompliance in Two-Stage Randomized Experiments.

因果推断

随机实验

In many social science experiments, subjects often interact with each other and as a result one unit's treatment influences the outcome of another unit. Over the last decade, a significant progress ha

DataONE2020-06-16 更新100

Simulation results for multiple time points with a causal effect from the outcome to the later time point.

时间序列分析

因果推断

Simulation results for multiple time points with a causal effect from the outcome to the later time point.

NIAID Data Ecosystem70

Two-Sample Instrumental Variables Estimators

工具变量估计

因果推断

Following an influential article by Angrist and Krueger (1992) on two-sample instrumental variables (TSIV) estimation, numerous empirical researchers have applied a computationally convenient two-samp

NBER2005-06-01 更新120

Replication Data for: A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data

因果推断

统计

This paper introduces a simple framework of counterfactual estimation for causal inference with time-series cross-sectional data, in which we estimate the average treatment effect on the treated by di

DataCite Commons2025-05-12 更新80

Treatment effect calculations for encouragement and lottery email treatments.

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