Results 141 to 150 of about 4,712,566 (254)

The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates [PDF]

, 2022
Hugo Bodory, Martin Huber, Michael Lechner   +2 more
openalex   +1 more source

When the Early Bird Catches the Worm: The Impact of Training in Retail [PDF]

We econometrically evaluate the performance effects of a six month e-learning programme in a large retail chain with monthly data on sales revenue, for four years using panel regressions.
Fahr, René, Hinerasky, Christiane
core  

Self-Attentive Quantile GAN With Causally Grounded Machine Learning for Vocal Biomarker Discovery in Parkinson’s Disease Detection

IEEE Access
Parkinson’s disease (PD) detection through voice analysis faces two fundamental challenges: traditional machine learning methods lack clinical interpretability due to their correlational nature, while existing causal inference approaches struggle ...
Meghana Sunil, V. Shravya, S. Nachiyappan   +2 more
doaj   +1 more source

Estrogen Treatment Lowers the Risk of Complications in Menopausal Women with Mild Burn Injury

Medicina
Background and Objectives: Postmenopausal women are often treated with exogenous female hormones to alleviate physical symptoms and support mental health. We posit that women treated with estrogen fare better following burn injury. Materials and Methods:
Juquan Song, George Golovko, Kostiantyn Botnar, Amina El Ayadi, Kathleen L. Vincent, Steven E. Wolf   +5 more
doaj   +1 more source

Taking a New Look at Empirical Models of Adoption: Average Treatment Effect Estimation of Adoption Rates and their Determinants [PDF]

, 2006
Aliou Diagne, Diagne, Aliou
openalex   +1 more source

Estimating conditional average treatment effects with heteroscedasticity by model averaging and matching

Economics Letters
We propose a model averaging approach, combined with a partition and matching method to estimate the conditional average treatment effects under heteroskedastic error settings. The proposed approach has asymptotic optimality and consistency of weights and estimator. Numerical studies show that our method has good finite-sample performances.
Shi, Pengfei, Zhang, Xinyu, Zhong, Wei
openaire   +2 more sources

A practical comparison of the bivariate probit and linear IV estimators [PDF]

This paper presents asymptotic theory and Monte-Carlo simulations comparing maximum-likelihood bivariate probit and linear instrumental variables estimators of treatment effects in models with a binary endogenous treatment and binary outcome.
Chiburis, Richard C., Das, Jishnu, Lokshin, Michael   +2 more
core  

Bounds on treatment effects on transitions [PDF]

This paper considers the definition and identification of treatment effects on conditional transition probabilities. We show that even under sequential random assignment only the instantaneous average treatment effect is point identified. Because treated
Ridder, Geert, Vikström, Johan
core  

Manifold Causal Conditional Deep Networks for Heterogeneous Treatment Effect Estimation and Policy Evaluation

Mathematics
We present a comprehensive framework for estimating heterogeneous treatment effects and evaluating decision-making policies in high-dimensional settings.
Jong-Min Kim
doaj   +1 more source

The Functional Average Treatment Effect [PDF]

, 2023
Shane Sparkes, Erika Garcia, Lu Zhang
openalex   +1 more source