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Replication Data for: Identifying the Cumulative Causal Effect of a Non-Binary Treatment from a Binary Instrument

NIAID Data Ecosystem2026-05-02 收录

因果推断

工具变量法

数据链接：

https://doi.org/10.7910/DVN/ZQMVGX 数据链接链接失效反馈

官方服务：

资源简介：

Review of Economics and Statistics: Forthcoming

应用场景：

创建时间：

2024-09-03

因果推断

医疗数据分析

Pre-treatment selection or censoring (‘selection on treatment’) can occur when two treatment levels are compared ignoring the third option of neither treatment, in ‘censoring by death’ settings where

DataCite Commons2020-08-29 更新130

Optimal Individualized Decision Rules Using Instrumental Variable Methods

个体化规则

工具变量法

There is an extensive literature on the estimation and evaluation of optimal individualized treatment rules in settings where all confounders of the effect of treatment on outcome are observed. We stu

NIAID Data Ecosystem110

Semiparametric Causality Tests Using the Policy Propensity Score

因果推断

时间序列分析

Time series data are widely used to explore causal relationships, typically in a regression framework with lagged dependent variables. Regression-based causality tests rely on an array of functional f

NBER2004-12-01 更新60

Data from: Modeling the perception of audiovisual distance: Bayesian causal inference and other models

视听感知

因果推断

Studies of audiovisual perception of distance are rare. Here, visual and auditory cue interactions in distance are tested against several multisensory models, including a modified causal inference mod

DataONE2016-12-15 更新110

DiD estimates associated with the analysis of the introduction of the WEZ using logs.

政策效果评估

因果推断

DiD estimates associated with the analysis of the introduction of the WEZ using logs.

Figshare2021-07-01 更新70